[CourseClub.Me] Udacity - Natural Language Processing Nanodegree v1.0.0

磁力链接/BT种子名称

[CourseClub.Me] Udacity - Natural Language Processing Nanodegree v1.0.0

磁力链接/BT种子简介

种子哈希：527a042e80f7da4588f1e5ada2daf26f0d3e3ebd
文件大小： 2.17G
已经下载：1019次
下载速度：极快
收录时间：2021-03-11
最近下载：2025-08-30

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:527A042E80F7DA4588F1E5ADA2DAF26F0D3E3EBD
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 她趣 TikTok成人版 PornHub 听泉鉴鲍 草榴社区 哆哔涩漫 呦乐园 萝莉岛

最近搜索

文件列表

  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.mp4 156.9 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.mp4 66.4 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.mp4 57.2 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.mp4 54.6 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.mp4 52.7 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.mp4 41.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.mp4 38.9 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.mp4 38.4 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.mp4 37.9 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.mp4 36.5 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.mp4 35.3 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4 34.1 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.mp4 30.3 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.mp4 27.9 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.mp4 27.0 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4 26.3 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.mp4 26.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.mp4 25.4 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa-1EU8jusdLZI.mp4 25.3 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.mp4 25.1 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.mp4 24.2 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.mp4 23.4 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.mp4 23.2 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4 22.8 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.mp4 22.6 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.mp4 22.4 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.mp4 22.1 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4 22.1 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.mp4 21.9 MB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.mp4 21.8 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.mp4 21.7 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4 21.6 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.mp4 20.6 MB
  • Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.mp4 20.5 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.mp4 20.0 MB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.mp4 19.9 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.mp4 19.5 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 19.0 MB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.mp4 19.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.mp4 19.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.mp4 18.6 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.mp4 18.5 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.mp4 18.1 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.mp4 18.1 MB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. Natural Language Processing-sQiURKPFXNM.mp4 16.2 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.mp4 15.5 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.mp4 15.4 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.mp4 15.1 MB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.mp4 14.2 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.mp4 13.8 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.mp4 13.5 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.mp4 13.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence-6y2B8VKoGTw.mp4 13.0 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.mp4 12.8 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.mp4 12.4 MB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Welcome to NLP-g-AlFF61p0I.mp4 12.3 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.mp4 11.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.mp4 10.9 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.mp4 10.7 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.mp4 10.5 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.mp4 10.2 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.mp4 10.1 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.mp4 10.1 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.mp4 9.8 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.mp4 9.7 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.mp4 9.7 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.mp4 9.4 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.mp4 8.9 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.mp4 8.8 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.mp4 8.5 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.mp4 8.4 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.mp4 8.2 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.mp4 8.1 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/01. Intro Arpan-MW5MWOLj064.mp4 7.8 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.mp4 7.8 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.mp4 7.7 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.mp4 7.6 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.mp4 7.6 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.mp4 7.6 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.mp4 7.4 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.mp4 7.3 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.mp4 7.2 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.mp4 7.0 MB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.mp4 7.0 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.mp4 6.9 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.mp4 6.8 MB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/feb-26-2019-16-19-56.gif 6.6 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.mp4 6.4 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.mp4 6.4 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.mp4 6.4 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.mp4 6.2 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.mp4 6.1 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.mp4 6.1 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.mp4 6.1 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR-59nKRkvk6As.mp4 6.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.mp4 6.1 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.mp4 5.8 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.mp4 5.8 MB
  • Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.mp4 5.8 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.mp4 5.7 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.mp4 5.6 MB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.mp4 5.6 MB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.mp4 5.4 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.mp4 5.4 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.mp4 5.2 MB
  • Part 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.mp4 5.2 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.mp4 5.0 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.mp4 4.9 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text-OmwSdaec5vU.mp4 4.9 MB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context-J-4pfu2w1C0.mp4 4.8 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/07. Context-J-4pfu2w1C0.mp4 4.8 MB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.mp4 4.7 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.mp4 4.6 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.mp4 4.6 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.mp4 4.6 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.mp4 4.4 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.mp4 4.4 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.mp4 4.3 MB
  • Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.mp4 4.3 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.mp4 4.2 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.mp4 4.2 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.mp4 4.2 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.mp4 4.1 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.mp4 4.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.mp4 4.1 MB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.mp4 4.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.mp4 4.0 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.mp4 4.0 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.mp4 4.0 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.mp4 4.0 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.mp4 4.0 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.mp4 3.9 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.mp4 3.9 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.mp4 3.6 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.mp4 3.6 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.mp4 3.6 MB
  • Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.mp4 3.6 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.mp4 3.6 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.mp4 3.6 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.mp4 3.5 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.mp4 3.5 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics-v3lz8t0ZWnQ.mp4 3.5 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics-v3lz8t0ZWnQ.mp4 3.5 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.mp4 3.5 MB
  • Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.mp4 3.4 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.mp4 3.4 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.mp4 3.3 MB
  • Part 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.mp4 3.3 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.mp4 3.2 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.mp4 3.2 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.mp4 3.2 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.mp4 3.1 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.mp4 3.1 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.mp4 3.1 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.mp4 3.1 MB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.mp4 3.1 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.mp4 2.9 MB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.mp4 2.8 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.mp4 2.8 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.mp4 2.7 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.mp4 2.7 MB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.mp4 2.6 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.mp4 2.6 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-27-at-1.29.13-pm.png 2.6 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.mp4 2.5 MB
  • Part 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data-Z4mnMN1ApG4.mp4 2.5 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/two-speechsignals-aligned.png 2.4 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.mp4 2.4 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample a Word-6UPqq5xzWpk.mp4 2.4 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/08. Solution Picking Topics-c4_EyKrMzg4.mp4 2.4 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample A Word-FckwjJOm9Qk.mp4 2.3 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.mp4 2.3 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/07. Quiz Picking Topics-aMNNHZ1Z-FA.mp4 2.3 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging-WFEu8bXI5OA.mp4 2.3 MB
  • Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging-WFEu8bXI5OA.mp4 2.3 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.mp4 2.2 MB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.mp4 2.2 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.mp4 2.2 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/11. TF-IDF-XZBiBIRcACE.mp4 2.2 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/03. TF-IDF-XZBiBIRcACE.mp4 2.2 MB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/img/screen-shot-2018-03-22-at-2.19.44-pm.png 2.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/rnndist.png 2.1 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/04. Latent Variables-9JQ51vOh_NY.mp4 2.1 MB
  • Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.mp4 2.1 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.mp4 1.9 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.mp4 1.8 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.mp4 1.8 MB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/img/jihadsquare.jpg 1.8 MB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/img/jihadsquare.jpg 1.8 MB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/jihadsquare.jpg 1.8 MB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-11.36.43-am.png 1.8 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-znDgb27W5As.mp4 1.7 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-Ft2YjIlpF1A.mp4 1.7 MB
  • Part 06-Module 01-Lesson 02_Topic Modeling/03. Bag Of Words-WILdZVzSAiE.mp4 1.7 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/02. NLPND POS 01 Intro V1-P4aMooNAGVs.mp4 1.7 MB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.mp4 1.7 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.mp4 1.7 MB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.48.22-pm.png 1.6 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/hmmstates.png 1.6 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.mp4 1.6 MB
  • Part 08-Module 01-Lesson 03_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.mp4 1.5 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.mp4 1.5 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.mp4 1.5 MB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.mp4 1.5 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.mp4 1.5 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.mp4 1.5 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.mp4 1.4 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 1.3 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.mp4 1.3 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.mp4 1.3 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.mp4 1.3 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.mp4 1.2 MB
  • Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling-P4w_2rkxBvE.mp4 1.2 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.mp4 1.2 MB
  • Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.mp4 1.2 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.mp4 1.2 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.31.11-pm.png 1.2 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-11-at-2.04.14-pm.png 1.2 MB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.mp4 1.1 MB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.mp4 1.1 MB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.mp4 1.1 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.mp4 1.1 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-03-at-10.43.49-pm.png 1.1 MB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.mp4 1.1 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.12.31-am.png 1.1 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.16.19-am.png 1.1 MB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/spectrogram.png 1.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.14.30-am.png 1.0 MB
  • Part 05-Module 01-Lesson 05_Text Processing/14. Summary-zKYEvRd2XmI.mp4 1.0 MB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-10-at-9.12.16-pm.png 919.6 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.mp4 903.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.49.13-pm.png 892.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.49.52-pm.png 826.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-29-at-3.49.20-pm.png 776.8 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/img/get-hired-with-the-udacity-career-portal.gif 774.9 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.00.25-pm.png 772.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/img/6509638772.gif 728.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-2.04.54-pm.png 713.1 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.mp4 707.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.mp4 693.2 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/alexa-simulator.png 686.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/profile-pics.jpg 609.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/sound.png 606.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/helloworld-spectrogram.png 586.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.mp4 583.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.mp4 545.3 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.59.16-pm.png 541.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-29-at-3.51.44-pm.png 531.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/source-filter-model.png 529.5 kB
  • Part 04-Module 01-Lesson 01_What's Next/img/aind-slides.008.1200x900.jpg 522.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.10.02-pm.png 489.9 kB
  • assets/img/udacimak.png 472.1 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/img/6485174133.gif 469.1 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/hmm.png 466.0 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/media/unnamed-723082-0.gif 457.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/img/6499079068.gif 456.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/img/6551597473.gif 455.0 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image4.png 446.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.mp4 435.3 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/05. Sentiment Analysis RNN GIF-GZWyEHOdZ0w.mp4 426.6 kB
  • img/aind-slides.018.1200x900.jpg 402.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/img/hmmquiz.png 401.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.48.22-am.png 395.8 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/img/mat-leonard-circle.png 394.1 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.50-pm.png 384.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-3.46.35-pm.png 375.8 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-10.23.07-pm.png 374.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-01-02-at-2.27.51-pm.png 371.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-1.40.14-pm.png 369.8 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/img/bag-of-words-quiz.png 366.5 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/pipeline.png 356.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-03-at-11.34.41-pm.png 355.8 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/img/topics-quiz.png 344.6 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/talent-program.png 344.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-29-at-3.08.28-pm.png 342.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-08-at-3.43.34-pm.png 324.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/img/arpan-c-circle.png 316.5 kB
  • Part 09-Module 01-Lesson 01_Keras/img/all-ranks.png 315.9 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-09-at-6.28.07-pm.png 307.2 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/3amigos.png 298.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/layers.png 293.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-30-at-10.54.50-am.png 276.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/img/how-many-parameters-quiz.png 273.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.23.49-pm.png 252.9 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.49.34-pm.png 244.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-01-02-at-2.49.43-pm.png 239.2 kB
  • assets/js/katex.min.js 236.8 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/redacted-linkedinresults.png 236.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-1.58.01-pm.png 235.5 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/image8.png 233.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-2.38.51-pm.png 230.7 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/npm-test-ok.png 229.6 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/profiles-view.png 228.9 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/img/screen-shot-2018-11-07-at-9.55.40-pm.png 227.5 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/helloworld-signal.png 224.3 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/multi-layer.png 219.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/img/meme.png 214.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/img/meme.png 214.1 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/img/meme.png 214.1 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/img/meme.png 214.1 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/meme.png 214.1 kB
  • Part 09-Module 01-Lesson 01_Keras/img/meme.png 214.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/meme.png 214.1 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-02-23-at-5.11.40-pm.png 205.5 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/screen-shot-2017-06-13-at-12.58.03-pm.png 201.0 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/img/watson-logo.png 194.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-3.44.20-pm.png 185.3 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/img/mat-headshot.png 184.3 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/img/mat-headshot.png 184.3 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.002.png 178.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-29-at-5.33.53-pm.png 173.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-2.09.07-pm.png 168.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.14.45-pm.png 167.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.49.24-pm.png 163.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/sv-sentences.png 154.3 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/security-groups.png 152.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-submit.png 149.7 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-submit.png 149.7 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-submit.png 149.7 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-gpu.png 149.0 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-gpu.png 149.0 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-gpu.png 149.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-notebook.png 146.3 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-notebook.png 146.3 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-notebook.png 146.3 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.008.png 146.0 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/img/how-many-paths-now.png 144.3 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/alexa-interaction-model.png 143.9 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/img/alexa-lab-overview2.png 143.3 kB
  • assets/css/bootstrap.min.css 140.9 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.007.png 139.6 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/img/spamham.png 138.3 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/p2xlarge-limit-request.png 132.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-02-at-11.03.45-pm.png 132.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-27-at-6.29.49-pm.png 132.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/ngrams-numbers.png 132.3 kB
  • assets/js/plyr.polyfilled.min.js 129.2 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/img/sentences.png 127.5 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.004.png 127.3 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.005.png 123.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/ngrams.png 123.3 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/alexa-lambda-function-code.png 122.6 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/vui-endpoint.png 121.8 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/img/linear-relationships.png 115.0 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/img/screen-shot-2018-11-09-at-7.38.47-pm.png 113.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-2.00.15-pm.png 112.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-03-at-11.36.39-pm.png 112.3 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/img/screen-shot-2018-08-13-at-5.51.37-pm.png 111.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-17-at-5.38.55-pm.png 110.6 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/amazonwebservices-logo.svg.png 109.7 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.003.png 108.0 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/screen-shot-2019-02-26-at-4.09.24-pm.png 107.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-05-at-12.09.13-pm.png 105.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-1.46.43-pm.png 97.2 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-0.gif 96.8 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-menu.png 96.2 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-menu.png 96.2 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-menu.png 96.2 kB
  • Part 09-Module 01-Lesson 01_Keras/img/summary.png 96.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/sum-of-components.png 90.4 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/tensorflow.png 87.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-new.png 87.3 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-new.png 87.3 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-new.png 87.3 kB
  • assets/js/jquery-3.3.1.min.js 86.9 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-jupyter.png 85.5 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-jupyter.png 85.5 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-jupyter.png 85.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-1.43.36-pm.png 82.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-02-at-10.29.14-pm.png 81.2 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.009.png 77.9 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-5.54.40-pm.png 73.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/img/notebook.png 71.9 kB
  • assets/css/fonts/KaTeX_AMS-Regular.ttf 71.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-30-at-4.40.57-pm.png 71.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-30-at-4.41.08-pm.png 70.1 kB
  • assets/css/fonts/KaTeX_Main-Regular.ttf 70.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/img/spam.png 69.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.17.19-pm.png 68.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.17.35-pm.png 68.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-05-at-11.55.58-am.png 66.8 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/img/vui-alexa-skill-overview.png 65.5 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/dropout-node.jpeg 64.2 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/cross-entropy-diagram.png 64.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-01-16-at-2.40.57-pm.png 64.1 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/img/nlp-m1-l4-machine-translation.006.png 64.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.42.56-am.png 62.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-01-at-1.48.59-pm.png 62.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.50.40-am.png 62.5 kB
  • assets/css/fonts/KaTeX_Main-Bold.ttf 61.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.37.27-am.png 60.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.10.56-pm.png 60.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.45.50-pm.png 59.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-2.44.11-pm.png 58.2 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/screen-shot-2018-09-21-at-12.02.03-pm.png 57.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.08.59-pm.png 55.5 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/notmnist.png 55.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.44.15-pm.png 55.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-02-at-11.06.19-pm.png 54.7 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/softmax-input-output.png 53.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-27-at-3.48.31-pm.png 52.9 kB
  • assets/js/bootstrap.min.js 51.0 kB
  • Part 09-Module 01-Lesson 01_Keras/img/data.png 50.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-4.12.59-pm.png 50.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-02-at-10.58.26-pm.png 50.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.07.21-pm.png 49.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.42.29-pm.png 49.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/normalized-mfcc.png 48.7 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/workspaces-terminal.png 48.0 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/workspaces-terminal.png 48.0 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/workspaces-terminal.png 48.0 kB
  • assets/css/fonts/KaTeX_Main-Italic.ttf 48.0 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.31.41-pm.png 46.0 kB
  • assets/js/jquery.mCustomScrollbar.concat.min.js 45.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-02-at-10.46.12-pm.png 45.0 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.ttf 44.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.21.41-pm.png 44.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-3.38.11-pm.png 43.8 kB
  • assets/css/jquery.mCustomScrollbar.min.css 42.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-3.54.17-pm.png 42.7 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.26.22-pm.png 42.2 kB
  • assets/css/fonts/KaTeX_Math-Italic.ttf 41.4 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff 40.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-09-at-6.01.16-pm.png 40.1 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.ttf 39.7 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff 39.4 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/img/udacitylogo-copy.png 38.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-01-at-3.38.43-pm.png 37.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/raw-audio.png 37.5 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff 36.8 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.ttf 36.3 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.ttf 36.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-09-at-3.53.12-pm.png 35.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/18. Quiz N-Grams.html 35.6 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.ttf 34.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/mel-scale.png 34.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-01-at-4.47.47-pm.png 34.1 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.ttf 34.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-05-at-12.16.55-pm.png 33.3 kB
  • assets/css/fonts/KaTeX_AMS-Regular.woff2 33.2 kB
  • assets/css/fonts/KaTeX_Main-Regular.woff2 32.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/img/speech-and-language.jpg 32.7 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/relu-network.png 31.8 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/session.png 31.6 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/img/screen-shot-2018-07-27-at-1.24.38-pm.png 31.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.ttf 31.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-02-21-at-3.10.10-pm.png 31.1 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/fourier-analysis.png 30.6 kB
  • assets/css/fonts/KaTeX_Main-Bold.woff2 30.6 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/img/nlp-word-cloud.png 30.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.ttf 30.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/img/screen-shot-2017-11-16-at-4.27.58-pm.png 28.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-05-at-12.04.21-am.png 27.7 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff 27.2 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/img/f3iwvmld-400x400.jpg 27.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/07. Quiz Mini-batch.html 26.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.54.48-pm.png 26.8 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff 26.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/mfcc.png 26.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-02-21-at-3.02.16-pm.png 25.8 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/weights-0-1-2.png 25.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-02-21-at-3.05.00-pm.png 24.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.ttf 24.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-21-at-4.02.19-pm.png 24.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/13. Lab Voice Data.html 24.8 kB
  • assets/css/plyr.css 24.2 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff 23.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-01-at-5.14.13-pm.png 23.8 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff 23.4 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff 23.2 kB
  • assets/css/fonts/KaTeX_Main-Italic.woff2 23.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-01-at-11.43.26-am.png 23.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/04. Quiz TensorFlow Linear Function.html 23.0 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff 22.8 kB
  • assets/css/fonts/KaTeX_Main-BoldItalic.woff2 22.2 kB
  • assets/css/katex.min.css 22.1 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/img/screen-shot-2019-02-26-at-4.25.04-pm.png 21.4 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/02. Machine Translation.html 21.3 kB
  • Part 09-Module 01-Lesson 01_Keras/img/student-acceptance.png 21.0 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff 20.9 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/mnist-012.png 20.7 kB
  • assets/css/fonts/KaTeX_Fraktur-Bold.woff2 20.5 kB
  • assets/css/fonts/KaTeX_Math-Italic.woff2 20.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.51.54-pm.png 20.3 kB
  • assets/css/fonts/KaTeX_Math-BoldItalic.woff2 20.0 kB
  • assets/css/fonts/KaTeX_Fraktur-Regular.woff2 19.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. Backpropagation- Example (part b).html 19.7 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/media/unnamed-project-desc-1.gif 19.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.ttf 19.6 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff 19.2 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.ttf 19.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.en.vtt 18.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/fft.png 18.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. Backpropagation Through Time (part b).html 18.5 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff 18.1 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.en.vtt 18.1 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/img/google-machine-translation.jpg 17.8 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.pt-BR.vtt 17.6 kB
  • assets/css/fonts/KaTeX_Typewriter-Regular.woff2 17.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/img/speaking.png 17.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/03. Introduction to GPU Workspaces.html 17.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-11.48.08-pm.png 17.3 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.en.vtt 17.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/05. Quiz FFT.html 17.2 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/02. Introduction to GPU Workspaces.html 16.8 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/01. Introduction to GPU Workspaces.html 16.8 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff 16.8 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Rubric - Improve Your LinkedIn Profile.html 16.7 kB
  • Part 09-Module 01-Lesson 01_Keras/02. Keras.html 16.5 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.zh-CN.vtt 16.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution-imnxzCev4SI.pt-BR.vtt 16.2 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.pt-BR.vtt 16.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/14. Save and Restore TensorFlow Models.html 16.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.en.vtt 16.0 kB
  • assets/css/fonts/KaTeX_SansSerif-Bold.woff2 16.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Backpropagation - Example (part a).html 15.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. The Feedforward Process.html 15.6 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/22. Connectionist Tempora Classification (CTC).html 15.5 kB
  • assets/css/fonts/KaTeX_SansSerif-Italic.woff2 15.2 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Sentiment RNN 2-V9YGGjmoHS0.zh-CN.vtt 15.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/16. Quiz TensorFlow Dropout.html 15.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. Backpropagation Through Time (part c).html 14.9 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec-7M431_f9HgE.zh-CN.vtt 14.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.42.42-pm.png 14.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/23. Some more math.html 14.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary.html 14.4 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/08. Epochs.html 14.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.en.vtt 14.3 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.en.vtt 14.2 kB
  • assets/css/fonts/KaTeX_SansSerif-Regular.woff2 14.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.pt-BR.vtt 14.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.en.vtt 14.0 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/Project Rubric - Project DNN Speech Recognizer.html 13.9 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff 13.9 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/aws-create-account.png 13.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise-ubqhh4Iv7O4.zh-CN.vtt 13.8 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/01. Jobs in NLP.html 13.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/04. Counting Words.html 13.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. Backpropagation Through Time (part a).html 13.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/06. Counting Words.html 13.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. RNN (part b).html 13.4 kB
  • assets/css/fonts/KaTeX_Size1-Regular.ttf 13.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/07. References Feature Extraction.html 13.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/22. BPTT Quiz 3.html 13.0 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/13. Deep Neural Network in TensorFlow.html 12.9 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.pt-BR.vtt 12.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters.html 12.8 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/img/instance-button.png 12.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. Backpropagation- Theory.html 12.7 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.pt-BR.vtt 12.6 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.pt-BR.vtt 12.5 kB
  • Part 09-Module 01-Lesson 01_Keras/03. Pre-Lab Student Admissions in Keras.html 12.4 kB
  • assets/css/fonts/KaTeX_Size2-Regular.ttf 12.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution-ji0famK7gOQ.zh-CN.vtt 12.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights-UHsT35pbpcE.zh-CN.vtt 12.4 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building The RNN 1-XTD6slf64fM.zh-CN.vtt 12.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/10. References Phonetics.html 12.3 kB
  • assets/css/fonts/KaTeX_Script-Regular.woff2 12.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/11. Backpropagation Quiz.html 12.2 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff 12.1 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.en.vtt 12.0 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/02. Getting Started.html 11.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. Feedforward Neural Network-Reminder.html 11.9 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff 11.9 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/img/screen-shot-2017-10-27-at-1.49.58-pm.png 11.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. RNN History.html 11.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/07. Profile Essentials.html 11.4 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/15. Finetuning.html 11.4 kB
  • assets/css/fonts/KaTeX_Size4-Regular.ttf 11.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.40.54-pm.png 11.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Get Opportunities with LinkedIn.html 11.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/04. Workspaces Best Practices.html 11.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.en.vtt 11.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/01. Prove Your Skills With GitHub.html 11.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/07. Feedforward Quiz.html 11.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile.html 11.1 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/02. Deadline Policy.html 11.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/sv-controls.png 10.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/04. References Signal Analysis.html 10.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/08. Quiz MFCC.html 10.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-12-04-at-12.42.55-pm.png 10.8 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/09. Build and Strengthen Your Network.html 10.8 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/12. Quiz TensorFlow ReLUs.html 10.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. From RNN to LSTM.html 10.6 kB
  • assets/css/fonts/KaTeX_Caligraphic-Bold.woff2 10.6 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/03. Workspaces Best Practices.html 10.6 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa-1EU8jusdLZI.en.vtt 10.6 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/02. Workspaces Best Practices.html 10.6 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.pt-BR.vtt 10.5 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/05. Lab Space Geek.html 10.5 kB
  • Part 09-Module 01-Lesson 01_Keras/07. Pre-Lab IMDB Data in Keras.html 10.5 kB
  • assets/css/fonts/KaTeX_Caligraphic-Regular.woff2 10.4 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/06. Quiz TensorFlow Cross Entropy.html 10.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.pt-BR.vtt 10.4 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate-HLMjeDez7ps.zh-CN.vtt 10.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. RNN (part a).html 10.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/Project Description - Optimize Your GitHub Profile.html 10.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. Bayesian Learning 1.html 10.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/11. Commit messages best practices.html 10.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/08. Mini Project 2.html 10.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/19. References Traditional ASR.html 10.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction-Kl3hWxizKVg.zh-CN.vtt 10.2 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/media/nmn.png 10.1 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/Project Rubric - Part of Speech Tagging.html 10.1 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/04. Deploying Your Skill.html 10.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/05. Quiz TensorFlow Softmax.html 10.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/Project Rubric - Optimize Your GitHub Profile.html 10.0 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/04. Launch Your Instance.html 10.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/05. Attention Overview.html 9.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-2.04.24-pm.png 9.9 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/02. Materials.html 9.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-10-30-at-11.56.27-am.png 9.9 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/08. Attention Encoder Decoder.html 9.9 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/08. Work Experiences Accomplishments.html 9.9 kB
  • Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/Project Rubric - Part of Speech Tagging.html 9.9 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/05. Use Your Elevator Pitch on LinkedIn.html 9.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/20. BPTT Quiz 1.html 9.8 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/Project Description - Project Machine Translation.html 9.8 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/03. Hello, Tensor World!.html 9.8 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/Project Rubric - Project Machine Translation.html 9.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.en.vtt 9.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. RNN Applications.html 9.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/07. Quiz Split Sentences.html 9.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/11. Quiz Phonetics.html 9.6 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/02. Installing TensorFlow.html 9.6 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/05. Remotely Connecting to Your Instance.html 9.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/15. Unfolded Model Quiz.html 9.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/06. Create Your Profile With SEO In Mind.html 9.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories.html 9.6 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/09. Pre-Lab NotMNIST in TensorFlow.html 9.5 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.en.vtt 9.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/21. BPTT Quiz 2.html 9.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/10. Reaching Out on LinkedIn.html 9.5 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/02. Introduction.html 9.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa-1EU8jusdLZI.zh-CN.vtt 9.4 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages.html 9.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/19. Mini Project 6.html 9.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.pt-BR.vtt 9.3 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/11. Mini Project 3.html 9.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.pt-BR.vtt 9.2 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/01. Intro.html 9.2 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/06. Number of Training Iterations Epochs.html 9.2 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/03. Tasks.html 9.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/16. Mini Project 5.html 9.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/23. References Deep Neural Network ASR.html 9.1 kB
  • Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/01. Introduction.html 9.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.zh-CN.vtt 9.1 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/12. Additive and Multiplicative Attention.html 9.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.en.vtt 9.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.en.vtt 9.0 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/11. Two-layer Neural Network.html 9.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Use Your Story to Stand Out.html 8.9 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.en.vtt 8.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. RNN Introduction.html 8.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/13. Computer Vision Applications.html 8.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/14. NLP Application Google Neural Machine Translation.html 8.8 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2.html 8.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-2.45.22-pm.png 8.8 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/03. Tasks.html 8.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.en.vtt 8.7 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/11. Boost Your Visibility.html 8.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.pt-BR.vtt 8.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages.html 8.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text.html 8.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Create Your Elevator Pitch.html 8.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. RNN- Example.html 8.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.en.vtt 8.5 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.zh-CN.vtt 8.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.pt-BR.vtt 8.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.en.vtt 8.5 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/04. Latent Variables.html 8.5 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.pt-BR.vtt 8.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. Naive Bayes Algorithm 1.html 8.5 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/03. Bag of Words.html 8.4 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/04. Learning Rate.html 8.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.zh-CN.vtt 8.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects.html 8.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution-Hv86B_jjWTI.zh-CN.vtt 8.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/14. Mini Project 4.html 8.4 kB
  • assets/css/fonts/KaTeX_Size3-Regular.ttf 8.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/08. Quiz Phonetics.html 8.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. Quiz Which path is more likely.html 8.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. RNN- Unfolded Model.html 8.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items.html 8.3 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/05. Mini Project 1.html 8.3 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Community Guidelines.html 8.3 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/10. Quiz.html 8.3 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/05. Sentiment Analysis with RNN.html 8.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter.html 8.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction.html 8.2 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. Quiz False Positives.html 8.2 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.zh-CN.vtt 8.2 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/Project Description - Improve Your LinkedIn Profile.html 8.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. Introducing Ortal .html 8.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/17. Next Steps.html 8.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/26. Wrap Up.html 8.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/20. Mini Project 6 Solution.html 8.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2.html 8.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/21. Analysis What's Going on in the Weights.html 8.1 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/04. Grammar.html 8.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/07. Quiz Picking Topics.html 8.1 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/12. Up Next.html 8.1 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/09. Bahdanau and Luong Attention.html 8.1 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/01. Overview.html 8.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/13. Building a Spam Classifier.html 8.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/03. The Notebooks.html 8.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.pt-BR.vtt 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem-IsTOnkAKaJw.pt-BR.vtt 8.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1.html 8.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network-4MuS-6ATxCU.pt-BR.vtt 8.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution.html 8.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/15. Other Attention Methods.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/12. Mini Project 3 Solution.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/17. Mini Project 5 Solution.html 8.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/17. Notebook Attention Basics.html 8.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Meet Andrew.html 8.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/18. [SOLUTION] Attention Basics.html 8.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository.html 8.0 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/02. Prepare for the Udacity Talent Program.html 8.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time.html 7.9 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/02. Embeddings Intro.html 7.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models.html 7.9 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/15. Understanding Inefficiencies in our Network.html 7.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/18. Next Steps.html 7.9 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes #1.html 7.9 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/03. Get Access to GPU Instances.html 7.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/09. Quiz How many paths now.html 7.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction.html 7.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition.html 7.8 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/01. Access the Career Portal.html 7.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers.html 7.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction with MFCC.html 7.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.en.vtt 7.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/06. Mini Project 1 Solution-l4r5l0HvHRI.pt-BR.vtt 7.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/01. Intro.html 7.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/13. Understanding Neural Noise.html 7.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network.html 7.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/19. Outro.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/16. The Transformer and Self-Attention.html 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm.html 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR.html 7.7 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/18. Further Noise Reduction.html 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis.html 7.7 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/Project Description - Part of Speech Tagging.html 7.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.en.vtt 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models.html 7.7 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/04. Framing the Problem.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/03. Encoding -- Attention Overview.html 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/04. Decoding -- Attention Overview.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/02. Sequence to Sequence Recap.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/01. Introduction to Attention.html 7.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams.html 7.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/10. Multiplicative Attention.html 7.7 kB
  • Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning-qawXp9DPV6I.zh-CN.vtt 7.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/11. Additive Attention.html 7.6 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/04. Your Udacity Professional Profile.html 7.6 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team.html 7.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/07. Attention Decoder.html 7.6 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/10. Lab NotMNIST in TensorFlow.html 7.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/06. Attention Encoder.html 7.6 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/09. RNN Hyperparameters.html 7.6 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Conclusion.html 7.6 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. Quiz How many paths.html 7.5 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro.html 7.5 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/16. Notebook Topic Modeling.html 7.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/02. Coding Exercises.html 7.5 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/17. [SOLUTION] Topic Modeling.html 7.5 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment Prediction-uGN3rZJRiMY.pt-BR.vtt 7.5 kB
  • Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/Project Description - Part of Speech Tagging.html 7.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/14. Project.html 7.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. Guess the Person Now.html 7.5 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/03. Knowledge.html 7.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/08. Normalization.html 7.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Why Use an Elevator Pitch.html 7.5 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/01. Overview.html 7.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.pt-BR.vtt 7.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.en.vtt 7.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2017-11-06-at-2.05.19-pm.png 7.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/15. Spam Classifier - Workspace.html 7.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.en.vtt 7.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging.html 7.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. Bayesian Learning 3.html 7.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample a Topic.html 7.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample a Word.html 7.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 08 Backpropagation Theory V6 Final-Xlgd8I3TWUg.zh-CN.vtt 7.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data.html 7.3 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Program Syllabus.html 7.3 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/07. Number of Hidden Units Layers.html 7.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/14. Further Reading.html 7.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging.html 7.3 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/10. Sources References.html 7.3 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/04. Student Hub.html 7.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/01. Intro to LSTM.html 7.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/05. Text Processing Coding Examples.html 7.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/07. Cleaning.html 7.2 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Lesson Plan - Week 1.html 7.2 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/04. Tasks.html 7.2 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/01. Intro.html 7.1 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/08. Optional Material.html 7.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. Naive Bayes Algorithm 2.html 7.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/10. Dirichlet Distributions.html 7.1 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. The Use Gate.html 7.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. Bayesian Learning 2.html 7.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. Solution False Positives.html 7.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. Known and Inferred.html 7.1 kB
  • Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization.html 7.1 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/03. Notebook Sentiment Analysis with a regular classifier.html 7.1 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. The Learn Gate.html 7.0 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. Guess the Person.html 7.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Allocation.html 7.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/08. Solution Picking Topics.html 7.0 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/04. [SOLUTION] Sentiment Analysis with a regular clas.html 7.0 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. Bayes Theorem.html 7.0 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/06. Notebook Sentiment Analysis with an RNN.html 7.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/10. 12 Backpropagation Example B V6 Final-yiSwuMP2UIA.zh-CN.vtt 7.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication.html 7.0 kB
  • Part 09-Module 01-Lesson 01_Keras/05. Optimizers in Keras.html 7.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions.html 7.0 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/07. [SOLUTION] Sentiment Analysis with an RNN.html 7.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.pt-BR.vtt 7.0 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. Solution Which path is more likely.html 7.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models.html 7.0 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff 7.0 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. The Forget Gate.html 7.0 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction.html 7.0 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/17. Outro.html 7.0 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.en.vtt 7.0 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.en.vtt 7.0 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Intro.html 7.0 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing.html 6.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/06. Matrices.html 6.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/03. Learning Rate.html 6.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/01. Intro.html 6.9 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/03. Access Your Career Portal.html 6.9 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.pt-BR.vtt 6.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/05. When bigrams won't work.html 6.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/08. Solution How many paths.html 6.9 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/Project Description - Project DNN Speech Recognizer.html 6.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro.html 6.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/12. Viterbi Algorithm Idea.html 6.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. Hidden Markov Models.html 6.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/02. References.html 6.9 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. The Remember Gate.html 6.9 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/07. Context Is Everything.html 6.9 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.pt-BR.vtt 6.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 07 FeedForward B V3-kTYbTVh1d0k.zh-CN.vtt 6.9 kB
  • Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition.html 6.9 kB
  • Part 05-Module 01-Lesson 05_Text Processing/13. Stemming and Lemmatization.html 6.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. Viterbi Algorithm.html 6.9 kB
  • Part 09-Module 01-Lesson 01_Keras/01. Intro.html 6.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/02. Part of Speech Tagging.html 6.8 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/16. Outro.html 6.8 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other architectures.html 6.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/03. Lookup Table.html 6.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.pt-BR.vtt 6.8 kB
  • Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal.html 6.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. Bigrams.html 6.8 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/09. Outro.html 6.8 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction.html 6.8 kB
  • Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing.html 6.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. NLP and Pipelines.html 6.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. How NLP Pipelines Work.html 6.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition.html 6.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. Intro.html 6.7 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing.html 6.7 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/02. Previous Material.html 6.7 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/01. Overview.html 6.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding.html 6.7 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.pt-BR.vtt 6.7 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff 6.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings.html 6.7 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size.html 6.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag of Words.html 6.6 kB
  • Part 09-Module 01-Lesson 01_Keras/04. Lab Student Admissions in Keras.html 6.6 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/03. NLP Machine Translation Workspace.html 6.6 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling.html 6.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.en.vtt 6.6 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.en.vtt 6.6 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. Outro.html 6.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.en.vtt 6.6 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/01. Additional NLP Lessons.html 6.6 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/01. Introducing Jay Alammar.html 6.6 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.en.vtt 6.6 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/01. Introducing Jay.html 6.6 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time.html 6.6 kB
  • Part 05-Module 01-Lesson 05_Text Processing/14. Summary.html 6.6 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/02. Create an AWS Account.html 6.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/08. NLP and Pipelines.html 6.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/09. How NLP Pipelines Work.html 6.6 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/04. Project Machine Translation.html 6.6 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.en.vtt 6.6 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/01. Intro.html 6.5 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/05. VUI Speech Recognizer Workspace.html 6.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting it All Together.html 6.5 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.en.vtt 6.5 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis with a Regular Classifier.html 6.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/10. 08 Multiplicative Attention V2-1-OwCgrx1eQ.zh-CN.vtt 6.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. Architecture of LSTM.html 6.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.pt-BR.vtt 6.5 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/04. Conversational AI with Alexa.html 6.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/11. TF-IDF.html 6.5 kB
  • Part 09-Module 01-Lesson 01_Keras/08. Lab IMDB Data in Keras.html 6.5 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building the Network Solution.html 6.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. t-SNE.html 6.5 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/03. Deciphering Code with character-level RNNs.html 6.5 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/04. [SOLUTION] Deciphering code with character-level RNNs.html 6.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.ar.vtt 6.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. Basics of LSTM.html 6.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.en.vtt 6.5 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff 6.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN vs LSTM.html 6.5 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models.html 6.5 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models.html 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/03. Implementing Word2Vec.html 6.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications.html 6.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome to Voice User Interfaces!.html 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building the Network.html 6.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR.html 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution.html 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.pt-BR.vtt 6.4 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.pt-BR.vtt 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling.html 6.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/14. Combining the Models-KRjuchtNilM.zh-CN.vtt 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution.html 6.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview.html 6.4 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets.html 6.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.pt-BR.vtt 6.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches.html 6.4 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics.html 6.4 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context Is Everything.html 6.4 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/02. NLP Overview.html 6.4 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/01. Introducing Arpan.html 6.4 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction.html 6.4 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings for Deep Learning.html 6.3 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.en.vtt 6.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.pt-BR.vtt 6.3 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/05. Congratulations!.html 6.3 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro.html 6.3 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/03. Workspace Part of Speech Tagging.html 6.3 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling.html 6.3 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/12. Outro LSTM.html 6.3 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/01. What It Takes.html 6.3 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results.html 6.3 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding.html 6.3 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.zh-CN.vtt 6.2 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview-w5QGti1LHzc.zh-CN.vtt 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings.html 6.2 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/05. Building the RNN.html 6.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/02. School of AI Team.html 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag of Words.html 6.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.pt-BR.vtt 6.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/index.html 6.2 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.zh-CN.vtt 6.2 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/01. Overview.html 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec.html 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe.html 6.2 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/01. FAQ.html 6.2 kB
  • Part 09-Module 01-Lesson 01_Keras/06. Mini Project Intro.html 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. t-SNE.html 6.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction.html 6.1 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/02. Reviews.html 6.1 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.en.vtt 6.1 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/01. Lesson Plan - Week 3.html 6.1 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architectures in More Depth.html 6.1 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architectures.html 6.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.pt-BR.vtt 6.1 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay Introduction.html 6.1 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/03. TF-IDF.html 6.1 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training the Network.html 6.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/index.html 6.0 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications.html 6.0 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing.html 6.0 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/07. Outro.html 6.0 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/02. Sentiment RNN.html 6.0 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/04. Workspace Bookworm.html 6.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/index.html 6.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.en.vtt 6.0 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. Summary.html 6.0 kB
  • Part 04-Module 01-Lesson 01_What's Next/01. Ready to Level Up with NLP.html 6.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/index.html 6.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. NLP and IBM Watson.html 5.9 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/02. Getting Started.html 5.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.pt-BR.vtt 5.9 kB
  • Part 05-Module 01-Lesson 05_Text Processing/img/jupyter-logo.png 5.9 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/img/jupyter-logo.png 5.9 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/img/jupyter-logo.png 5.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.en.vtt 5.9 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/07. Solutions.html 5.9 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/index.html 5.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. NLP Overview.html 5.9 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence.html 5.9 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.en.vtt 5.9 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.pt-BR.vtt 5.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.pt-BR.vtt 5.8 kB
  • assets/css/fonts/KaTeX_Size1-Regular.woff2 5.8 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Welcome to the Natural Language Processing Nanodegree.html 5.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/13. 10 Computer Vision Applications V3-bhWwc4BYTYc.zh-CN.vtt 5.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.en.vtt 5.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.en.vtt 5.8 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.ja-JP.vtt 5.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.en.vtt 5.7 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.pt-BR.vtt 5.7 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.pt-BR.vtt 5.7 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/11. MLND SL NB Naive Bayes Algorithm-CQBMB9jwcp8.zh-CN.vtt 5.7 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/02. Support.html 5.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.pt-BR.vtt 5.6 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome to Voice User Interfaces!.html 5.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/index.html 5.6 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.en.vtt 5.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/16. 12 The Transformer And Self Attention V2-F-XN72bQiMQ.zh-CN.vtt 5.6 kB
  • assets/css/fonts/KaTeX_Size2-Regular.woff2 5.6 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/06. Training The Network-nknJ3Xu3ld0.zh-CN.vtt 5.6 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.en-US.vtt 5.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/01. 01 Introduction To Attention V2-NCn97L5WbCY.zh-CN.vtt 5.5 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/02. VUI Overview.html 5.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/07. SL NB 06 S False Positives V1 V3-Bg6_Tvcv81A.zh-CN.vtt 5.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/09. 07 Additive And Multiplicative Attention V1-2eqIUDjefNg.zh-CN.vtt 5.5 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/index.html 5.5 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.en.vtt 5.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ar.vtt 5.5 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.en.vtt 5.5 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications.html 5.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/25. 23 From RNNs To LSTMs V4 Final-MsqybcWmzGY.zh-CN.vtt 5.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.en.vtt 5.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/index.html 5.4 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/13. NLPND POS 12 Viterbi Algorithm V2-BQn_RZqXpfg.zh-CN.vtt 5.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/index.html 5.4 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.en.vtt 5.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/index.html 5.3 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.en.vtt 5.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.en.vtt 5.3 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/03. Jay's Introduction-HPOzAlXhuxQ.zh-CN.vtt 5.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.ar.vtt 5.3 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.en.vtt 5.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ar.vtt 5.3 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/15. 11 Other Attention Methods V2-VmsR9FVpQiM.zh-CN.vtt 5.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.en.vtt 5.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.en.vtt 5.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/index.html 5.2 kB
  • assets/css/fonts/KaTeX_Size4-Regular.woff2 5.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.pt-BR.vtt 5.2 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.en.vtt 5.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/12. 14 RNN A V4 Final-ofbnDxGSUcg.zh-CN.vtt 5.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.en.vtt 5.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.en.vtt 5.2 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/04. Subsampling Solution-MAUM_mV_lj8.zh-CN.vtt 5.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.en.vtt 5.2 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt 5.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.pt-BR.vtt 5.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.pt-BR.vtt 5.1 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.pt-BR.vtt 5.1 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/index.html 5.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 04 RNN FFNN Reminder A V7 Final-_vrp2lZjXf0.zh-CN.vtt 5.1 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.en.vtt 5.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.zh-CN.vtt 5.1 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/index.html 5.0 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/index.html 5.0 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.pt-BR.vtt 5.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.en.vtt 5.0 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/24. RNN Summary-nXP0oGGRrO8.zh-CN.vtt 5.0 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/index.html 5.0 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.pt-BR.vtt 5.0 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/index.html 5.0 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR-59nKRkvk6As.en.vtt 5.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.en.vtt 5.0 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/05. Architecture encoder decoder-dkHdEAJnV_w.zh-CN.vtt 4.9 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/index.html 4.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/index.html 4.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.pt-BR.vtt 4.9 kB
  • Part 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.en.vtt 4.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/05. Minibatch Size-GrrO1NFxaW8.zh-CN.vtt 4.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.pt-BR.vtt 4.9 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.en.vtt 4.8 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.ja-JP.vtt 4.8 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.en.vtt 4.8 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/08. Embeddings For Deep Learning-gj8u1KG0H2w.zh-CN.vtt 4.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.pt-BR.vtt 4.8 kB
  • Part 07-Module 01-Lesson 04_Project DNN Speech Recognizer/index.html 4.8 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/index.html 4.8 kB
  • Part 06-Module 01-Lesson 08_Project Machine Translation/index.html 4.8 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff 4.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.pt-BR.vtt 4.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/16. 18 RNN Example V5 Final-MDLk3fhpTx0.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.en.vtt 4.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/13. 16 RNN B V4 Final-wsif3p5t7CI.zh-CN.vtt 4.7 kB
  • Part 09-Module 01-Lesson 01_Keras/index.html 4.7 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/06. Challenges in ASR-59nKRkvk6As.zh-CN.vtt 4.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/02. Challenges in ASR-59nKRkvk6As.zh-CN.vtt 4.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ar.vtt 4.7 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/03. LSTM Basics-gjb68a4XsqE.zh-CN.vtt 4.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.pt-BR.vtt 4.7 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.pt-BR.vtt 4.7 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/06. Architecture in More Depth-rdAo4MqLbEk.zh-CN.vtt 4.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.pt-BR.vtt 4.7 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.zh-CN.vtt 4.7 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.pt-BR.vtt 4.7 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/index.html 4.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.en.vtt 4.6 kB
  • Part 05-Module 01-Lesson 08_Project Part of Speech Tagging/index.html 4.6 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.pt-BR.vtt 4.6 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/index.html 4.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/06. 06 FeedForward A V7 Final-4rCfnWbx8-0.zh-CN.vtt 4.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.es-MX.vtt 4.6 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/index.html 4.6 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.pt-BR.vtt 4.6 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.en.vtt 4.6 kB
  • Part 06-Module 01-Lesson 07_Cloud Computing Setup Instructions/index.html 4.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.pt-BR.vtt 4.6 kB
  • Part 06-Module 01-Lesson 06_RNN Keras Lab/index.html 4.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.en.vtt 4.6 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/index.html 4.6 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/03. Data Preprocessing-h4-LwZU9_k8.zh-CN.vtt 4.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/02. Meet Chris-0ccflD9x5WU.zh-CN.vtt 4.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. Natural Language Processing-sQiURKPFXNM.en.vtt 4.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.en.vtt 4.5 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.pt-BR.vtt 4.5 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.en.vtt 4.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.en.vtt 4.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.ja-JP.vtt 4.5 kB
  • Part 13-Module 01-Lesson 01_Project Part of Speech Tagging/index.html 4.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.zh-CN.vtt 4.4 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/index.html 4.4 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.ja-JP.vtt 4.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.pt-BR.vtt 4.4 kB
  • Part 05-Module 01-Lesson 09_(Optional) IBM Watson Bookworm Lab/index.html 4.4 kB
  • Part 07-Module 01-Lesson 02_(Optional) Alexa History Skill/index.html 4.4 kB
  • Part 05-Module 01-Lesson 02_Get Help from Peers and Mentors/index.html 4.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.ja-JP.vtt 4.4 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/index.html 4.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/09. Beta Distributions-jR4sf50AFio.zh-CN.vtt 4.4 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.pt-BR.vtt 4.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/13. Stemming And Lemmatization-7Gjf81u5hmw.zh-CN.vtt 4.4 kB
  • Part 05-Module 02-Lesson 01_Nanodegree Career Services/index.html 4.3 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/07. Transforming Text into Numbers-7rHBU5cbePE.pt-BR.vtt 4.3 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.pt-BR.vtt 4.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.pt-BR.vtt 4.3 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.pt-BR.vtt 4.3 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/02. RNN Vs LSTM-70MgF-IwAr8.zh-CN.vtt 4.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/06. NLPND POS 05 Hidden Markov Models V1-aQsYnmio9_E.zh-CN.vtt 4.3 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.ja-JP.vtt 4.3 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.en.vtt 4.3 kB
  • Part 05-Module 01-Lesson 03_Get Help with Your Account/index.html 4.2 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.en.vtt 4.2 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/10. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt 4.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/02. Bag Of Words-A7M1z8yLl0w.zh-CN.vtt 4.2 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/07. Building The Network-fhSb5c6UX6M.zh-CN.vtt 4.2 kB
  • Part 04-Module 01-Lesson 01_What's Next/index.html 4.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.en.vtt 4.2 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.en.vtt 4.2 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/07. NLPND POS 06 Quiz How Many Paths V1-k8FFLUKm_Bo.zh-CN.vtt 4.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.pt-BR.vtt 4.2 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.en.vtt 4.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/02. 01 RNN Intro V6 Final-AIQEqg6F38A.zh-CN.vtt 4.2 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.pt-BR.vtt 4.1 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/05. Natural Language Processing-sQiURKPFXNM.zh-CN.vtt 4.1 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.en.vtt 4.1 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.en.vtt 4.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/05. 05 RNN FFNN Reminder B V6 Final-FfPjaGcZODc.zh-CN.vtt 4.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.en.vtt 4.1 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.pt-BR.vtt 4.1 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/11. 09 Additive Attention V2-93VfVWZ-IvY.zh-CN.vtt 4.1 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/09. Mini Project 2 Solution-45ihpPaeO8E.pt-BR.vtt 4.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ar.vtt 4.0 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.en.vtt 4.0 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.en.vtt 4.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.en.vtt 3.9 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.pt-BR.vtt 3.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/img/screen-shot-2018-01-02-at-2.44.44-pm.png 3.9 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/10. Training Results-uISA5ns47s8.zh-CN.vtt 3.9 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.en.vtt 3.9 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.en.vtt 3.9 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.en.vtt 3.9 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.pt-BR.vtt 3.9 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/05. Making Batches-jx7qwdw-94k.zh-CN.vtt 3.9 kB
  • assets/css/fonts/KaTeX_Size3-Regular.woff2 3.9 kB
  • assets/css/styles.css 3.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. 10 Backpropagation Example A V3 Final-3k72z_WaeXg.zh-CN.vtt 3.8 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.pt-BR.vtt 3.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/18. 20 RNN BPTT B V5 Final-bUU9BEQw0IA.zh-CN.vtt 3.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/01. Andrew Trask - Intro-da1I0mea1jQ.pt-BR.vtt 3.8 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.zh-CN.vtt 3.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.en.vtt 3.8 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.en.vtt 3.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.pt-BR.vtt 3.8 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/04. NLPND POS 03 Bigrams V1-pnZYAsyLb0Y.zh-CN.vtt 3.7 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.en.vtt 3.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.en.vtt 3.7 kB
  • Part 05-Module 02-Lesson 02_Jobs in NLP/02. Meet the Careers Team-cuKecPpZ7PM.en.vtt 3.7 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/08. RNN Hyperparameters-yQvnv7l_aUo.zh-CN.vtt 3.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.pt-BR.vtt 3.7 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/07. GloVe-KK3PMIiIn8o.zh-CN.vtt 3.7 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/02. Sentiment Analysis 1-5aIgZ3llgSo.zh-CN.vtt 3.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.en.vtt 3.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.en.vtt 3.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.es-MX.vtt 3.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.en.vtt 3.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/17. 19 RNN BPTT A V6 Final-eE2L3-2wKac.zh-CN.vtt 3.6 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.zh-CN.vtt 3.6 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/03. VUI Applications-wZLP8cdiA2Y.zh-CN.vtt 3.6 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.en.vtt 3.6 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.pt-BR.vtt 3.6 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.en.vtt 3.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.zh-CN.vtt 3.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.en.vtt 3.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.en.vtt 3.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.zh-CN.vtt 3.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.pt-BR.vtt 3.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/05. Feature Extraction-UgENzCmfFWE.zh-CN.vtt 3.4 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/11. Feature Extraction-UgENzCmfFWE.zh-CN.vtt 3.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/09. Building The Network Solution-pkBAhQ2Ki-8.zh-CN.vtt 3.4 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.en.vtt 3.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/01. Introduction to Speech Recognition-EcsLCpnGBGs.zh-CN.vtt 3.4 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence-6y2B8VKoGTw.en.vtt 3.4 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/02. 02 Sequence To Sequence Recap V2-MRPHIPR0pGE.zh-CN.vtt 3.4 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.en.vtt 3.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/03. 02 RNN History V4 Final-HbxAnYUfRnc.zh-CN.vtt 3.4 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.zh-CN.vtt 3.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.en.vtt 3.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/phonetics.png 3.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.pt-BR.vtt 3.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.ja-JP.vtt 3.4 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.pt-BR.vtt 3.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/06. Matrices-xBrotILG97c.zh-CN.vtt 3.3 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/11. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt 3.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/21. Deep Neural Networks as Speech Models-Rv8LGuiyzB8.zh-CN.vtt 3.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.pt-BR.vtt 3.3 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.en.vtt 3.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.en.vtt 3.3 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.en.vtt 3.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.en.vtt 3.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.es-MX.vtt 3.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/01. Why Network-exjEm9Paszk.pt-BR.vtt 3.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.pt-BR.vtt 3.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/03. Signal Analysis-AJKKQJZsb7o.zh-CN.vtt 3.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.en.vtt 3.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.en.vtt 3.2 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics-v3lz8t0ZWnQ.en.vtt 3.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics-v3lz8t0ZWnQ.en.vtt 3.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/10. NLPND LDA 09 Dirichlet Distributions RENDER V2-4wWyD0gB7H8.zh-CN.vtt 3.1 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.pt-BR.vtt 3.1 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/06. Towards Augmented Intelligence-6y2B8VKoGTw.zh-CN.vtt 3.1 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.pt-BR.vtt 3.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/07. Quiz Picking Topics-aMNNHZ1Z-FA.en.vtt 3.1 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/06. Feature Extraction-qEPu5nQ4IMg.zh-CN.vtt 3.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/02. SL NB 01 Guess The Person V1 V1-tAOAjI-7ins.zh-CN.vtt 3.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.pt-BR.vtt 3.1 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/07. 06 Attention Decoder V1-5mMz6nN9_Ss.zh-CN.vtt 3.1 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/15. HMMs in Speech Recognition-9H2wP7g9d1g.zh-CN.vtt 3.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.pt-BR.vtt 3.0 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.pt-BR.vtt 3.0 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.pt-BR.vtt 3.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.en.vtt 3.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.en.vtt 3.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.zh-CN.vtt 3.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/08. Normalization-eOV2UUY8vtM.zh-CN.vtt 3.0 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/10. Building a Neural Network-aM2k7RTjjJI.pt-BR.vtt 2.9 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/06. Word2Vec-7jjappzGRe0.zh-CN.vtt 2.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample A Word-FckwjJOm9Qk.en.vtt 2.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample a Word-6UPqq5xzWpk.en.vtt 2.9 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ar.vtt 2.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.en.vtt 2.9 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/07. Number Of Hidden Units Layers-IkGAIQH5wH8.zh-CN.vtt 2.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/08. Solution Picking Topics-c4_EyKrMzg4.en.vtt 2.9 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/19. 21 RNN BPTT C V7 Final-uBy_eIJDD1M.zh-CN.vtt 2.9 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.pt-BR.vtt 2.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.en.vtt 2.8 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/10. SL NB 09 Bayesian Learning 3 V1 V4-u-Hj4RsJn1o.zh-CN.vtt 2.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.pt-BR.vtt 2.8 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/07. Phonetics-v3lz8t0ZWnQ.zh-CN.vtt 2.8 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/09. Phonetics-v3lz8t0ZWnQ.zh-CN.vtt 2.8 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/04. 04 Attention Overview Decoding V2-DJxiPd585GY.zh-CN.vtt 2.8 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.en-US.vtt 2.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.en.vtt 2.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.pt-BR.vtt 2.8 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.pt-BR.vtt 2.7 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.en.vtt 2.7 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/05. Matrix Multiplication-8GE2EvgdG1Y.zh-CN.vtt 2.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/03. GitHub profile important items-prvPVTjVkwQ.zh-CN.vtt 2.7 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/07. Quiz Picking Topics-aMNNHZ1Z-FA.zh-CN.vtt 2.7 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.en.vtt 2.7 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.en.vtt 2.7 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.en.vtt 2.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.en.vtt 2.7 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.en.vtt 2.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ar.vtt 2.7 kB
  • Part 05-Module 01-Lesson 05_Text Processing/09. Tokenization-4Ieotbeh4u8.zh-CN.vtt 2.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/04. 03 RNN Applications V3 Final-6JbTNARuKII.zh-CN.vtt 2.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ar.vtt 2.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.en.vtt 2.6 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample A Word-FckwjJOm9Qk.zh-CN.vtt 2.6 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.en.vtt 2.6 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.en.vtt 2.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.ja-JP.vtt 2.6 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/05. Learn Gate-aVHVI7ovbHY.zh-CN.vtt 2.6 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.en.vtt 2.6 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.pt-BR.vtt 2.6 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/13. Sample a Word-6UPqq5xzWpk.zh-CN.vtt 2.6 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.pt-BR.vtt 2.6 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/17. N-Grams-cSP1p9wWhHg.zh-CN.vtt 2.5 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.zh-CN.vtt 2.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.pt-BR.vtt 2.5 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.pt-BR.vtt 2.5 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.en.vtt 2.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.pt-BR.vtt 2.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ja-JP.vtt 2.5 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/06. 05 Attention Encoder V2-sphe9LDT4rA.zh-CN.vtt 2.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.en.vtt 2.5 kB
  • Part 06-Module 01-Lesson 04_Sequence to Sequence/04. Applications seq2seq-tDJBDwriJYQ.zh-CN.vtt 2.5 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/06. Batches Solution-DdfR0RjSC-Q.zh-CN.vtt 2.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.pt-BR.vtt 2.5 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.en.vtt 2.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.en.vtt 2.4 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/11. TF-IDF-XZBiBIRcACE.en.vtt 2.4 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/03. TF-IDF-XZBiBIRcACE.en.vtt 2.4 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.pt-BR.vtt 2.4 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.pt-BR.vtt 2.4 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ja-JP.vtt 2.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/08. Solution Picking Topics-c4_EyKrMzg4.zh-CN.vtt 2.4 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.en.vtt 2.4 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.en.vtt 2.4 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/02. NLPND POS 01 Intro V1-P4aMooNAGVs.en.vtt 2.4 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/03. Text Processing-pqheVyctkNQ.zh-CN.vtt 2.4 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/10. Text Processing-pqheVyctkNQ.zh-CN.vtt 2.4 kB
  • Part 05-Module 01-Lesson 01_Welcome to Natural Language Processing/01. Intro NLP-6myHs4e71Ys.zh-CN.vtt 2.3 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.ar.vtt 2.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ar.vtt 2.3 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.zh-CN.vtt 2.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.en.vtt 2.3 kB
  • Part 07-Module 01-Lesson 01_Intro to Voice User Interfaces/01. Welcome-zYDIgmGo4Xc.zh-CN.vtt 2.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/05. SL NB 04 Bayes Theorem V1 V2-nVbPJmf53AI.zh-CN.vtt 2.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/12. Voice Data Lab Introduction-9072Yx9hOXk.zh-CN.vtt 2.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.pt-BR.vtt 2.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/08. SL NB 07 Q Bayesian Learning 1 V1 V4-J4BmsKXPnkA.zh-CN.vtt 2.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.ja-JP.vtt 2.3 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/14. 17 RNN Unfolded V3 Final-xLIA_PTWXog.zh-CN.vtt 2.3 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt 2.3 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.en.vtt 2.3 kB
  • Part 12-Module 01-Lesson 01_Embeddings and Word2Vec/08. Negative Sampling-gW17AHBKbHY.zh-CN.vtt 2.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-Ft2YjIlpF1A.en.vtt 2.2 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.ar.vtt 2.2 kB
  • Part 10-Module 01-Lesson 01_Sentiment Analysis with Andrew Trask/22. Andrew Trask - Outro-nIF0GLOQglQ.pt-BR.vtt 2.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.ja-JP.vtt 2.2 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/04. Latent Variables-9JQ51vOh_NY.en.vtt 2.2 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/08. 13 Overfitting Intro V4 Final-rmBLnVbFfFY.zh-CN.vtt 2.2 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.pt-BR.vtt 2.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ar.vtt 2.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.en.vtt 2.2 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/03. Bag Of Words-WILdZVzSAiE.en.vtt 2.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/09. Putting It All Together-IF8FlKW-Zo0.zh-CN.vtt 2.2 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context-J-4pfu2w1C0.en.vtt 2.2 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/07. Context-J-4pfu2w1C0.en.vtt 2.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/10. Interview with Art - Part 2-Vvzl2J5K7-Y.zh-CN.vtt 2.1 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/11. TF-IDF-XZBiBIRcACE.zh-CN.vtt 2.1 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/03. TF-IDF-XZBiBIRcACE.zh-CN.vtt 2.1 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.pt-BR.vtt 2.1 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.en.vtt 2.1 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.pt-BR.vtt 2.1 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/11. Other Architectures-MsxFDuYlTuQ.zh-CN.vtt 2.1 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.en.vtt 2.1 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.en.vtt 2.1 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/02. Introduction-erwnzFD7AeE.zh-CN.vtt 2.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-znDgb27W5As.en.vtt 2.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.es-MX.vtt 2.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.zh-CN.vtt 2.0 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt 2.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging-WFEu8bXI5OA.pt-BR.vtt 2.0 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/02. NLPND POS 01 Intro V1-P4aMooNAGVs.zh-CN.vtt 2.0 kB
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/09. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.zh-CN.vtt 2.0 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/14. Acoustic Models and the Trouble with Time-jVTZCa9Qqmk.zh-CN.vtt 2.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.ja-JP.vtt 2.0 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/04. Context-J-4pfu2w1C0.zh-CN.vtt 2.0 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/07. Context-J-4pfu2w1C0.zh-CN.vtt 2.0 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.pt-BR.vtt 2.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ar.vtt 2.0 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.pt-BR.vtt 2.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Elevator Pitch-0QtgTG49E9I.pt-BR.vtt 2.0 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.en.vtt 2.0 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.en.vtt 2.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.en.vtt 2.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/04. Good GitHub repository-qBi8Q1EJdfQ.zh-CN.vtt 2.0 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.en.vtt 1.9 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt 1.9 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.pt-BR.vtt 1.9 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/08. NLPND POS 07 Solution How Many Paths V1-5ZITaEcNMpM.zh-CN.vtt 1.9 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/07. Quick Fixes-Lb9e2KemR6I.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/03. Bag Of Words-WILdZVzSAiE.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/04. Latent Variables-9JQ51vOh_NY.zh-CN.vtt 1.9 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/ctcfunction.png 1.9 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/14. T-SNE-xxcK8oZ6_WE.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/09. T-SNE-xxcK8oZ6_WE.zh-CN.vtt 1.9 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.en.vtt 1.9 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-Ft2YjIlpF1A.zh-CN.vtt 1.9 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.ja-JP.vtt 1.9 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.en.vtt 1.8 kB
  • Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.pt-BR.vtt 1.8 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.en.vtt 1.8 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.pt-BR.vtt 1.8 kB
  • Part 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data-Z4mnMN1ApG4.en.vtt 1.8 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.en.vtt 1.8 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text-OmwSdaec5vU.en.vtt 1.8 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.zh-CN.vtt 1.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt 1.8 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.en.vtt 1.8 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.en.vtt 1.8 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.pt-BR.vtt 1.8 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.pt-BR.vtt 1.8 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.pt-BR.vtt 1.8 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt 1.7 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.pt-BR.vtt 1.7 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.pt-BR.vtt 1.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.pt-BR.vtt 1.7 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/03. NLPND POS 02 Lookup Table V1-BkbeShOwz6w.zh-CN.vtt 1.7 kB
  • Part 10-Module 01-Lesson 02_Sentiment Prediction RNN/04. Creating Testing Sets-BRBbrNLz1ho.zh-CN.vtt 1.7 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt 1.7 kB
  • Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging-WFEu8bXI5OA.en.vtt 1.7 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/06. SL NB 05 Q False Positives V1 V2-ngA6v09eP08.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 05_Deep Learning Attention/03. 03 Attention Overview Encoding V2-IctAnMaVUKc.zh-CN.vtt 1.7 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/12. Sample A Topic-znDgb27W5As.zh-CN.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.ja-JP.vtt 1.7 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Welcome to NLP-g-AlFF61p0I.en.vtt 1.7 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.en.vtt 1.7 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.en.vtt 1.7 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/eqn-addone-bigram-smoothing.png 1.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.zh-CN.vtt 1.7 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.pt-BR.vtt 1.7 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.ja-JP.vtt 1.7 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.en.vtt 1.6 kB
  • Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.en.vtt 1.6 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.pt-BR.vtt 1.6 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.pt-BR.vtt 1.6 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.en.vtt 1.6 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/02. Introduction-Vnj2VNQROtI.en.vtt 1.6 kB
  • Part 05-Module 01-Lesson 05_Text Processing/06. Capturing Text Data-Z4mnMN1ApG4.zh-CN.vtt 1.6 kB
  • Part 06-Module 01-Lesson 03_Sentiment Analysis/01. Intro-MXeF39TDdZY.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.en.vtt 1.6 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.en.vtt 1.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/05. Unstructured Text-OmwSdaec5vU.zh-CN.vtt 1.6 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/02. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt 1.6 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/09. NLP M1-L1 01 NLP Pipeline-vJx6oKlu_MM.zh-CN.vtt 1.6 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.en.vtt 1.6 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.pt-BR.vtt 1.6 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.en.vtt 1.5 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/03. Structured Languages-NsmqUIHlk6U.zh-CN.vtt 1.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ar.vtt 1.5 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/12. MLND SL NB Solution Naive Bayes Algorithm-QDj3xzjuYmo.zh-CN.vtt 1.5 kB
  • Part 08-Module 01-Lesson 03_Hyperparameters/06. Number Of Iterations-TTdHpSb4DV8.zh-CN.vtt 1.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/08. LSTM 7 Use Gate-5Ifolm1jTdY.zh-CN.vtt 1.5 kB
  • Part 01-Module 01-Lesson 01_Welcome to Natural Language Processing/03. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt 1.5 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/02. Welcome to NLP-g-AlFF61p0I.zh-CN.vtt 1.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.en.vtt 1.5 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/eqn-markov-assumption-ngrams.png 1.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/08. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt 1.5 kB
  • Part 05-Module 01-Lesson 05_Text Processing/11. Part-of-Speech Tagging-WFEu8bXI5OA.zh-CN.vtt 1.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.ja-JP.vtt 1.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.pt-BR.vtt 1.5 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.en.vtt 1.5 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.pt-BR.vtt 1.5 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.pt-BR.vtt 1.5 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling-P4w_2rkxBvE.pt-BR.vtt 1.5 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.es-MX.vtt 1.5 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/09. Regra da cadeia-YAhIBOnbt54.zh-CN.vtt 1.5 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/05. NLPND POS 04 When Bigrams Wont Work V1-WgbJR7CyfQY.zh-CN.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/eqn-jointprob-words-in-sentence.png 1.4 kB
  • Part 06-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn/04. Pitching to a Recruiter-LxAdWaA-qTQ.pt-BR.vtt 1.4 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.en.vtt 1.4 kB
  • Part 05-Module 01-Lesson 05_Text Processing/10. Stop Word Removal-WAU_Ij0GJbw.zh-CN.vtt 1.4 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.en.vtt 1.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.en.vtt 1.4 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.en.vtt 1.4 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/01. Introduction-pmpHsYaKxr0.zh-CN.vtt 1.4 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/09. SL NB 08 S Bayesian Learning 2 V1 V6-3rIYZgCXVXY.zh-CN.vtt 1.4 kB
  • Part 08-Module 01-Lesson 01_Recurrent Neural Networks/01. 00 Luis Introducing Ortal Newtitle121217-oXv7GiC-jrM.zh-CN.vtt 1.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.en.vtt 1.4 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/04. LSTM Architecture-ycwthhdx8ws.zh-CN.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.en.vtt 1.4 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/img/eqn-bigram-mle.png 1.4 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.pt-BR.vtt 1.4 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-ncFtwW5urHk.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.pt-BR.vtt 1.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/15. Participating in open source projects 2-elZCLxVvJrY.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.en.vtt 1.3 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling-P4w_2rkxBvE.en.vtt 1.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/09. NLPND POS 08 Quiz How Many Paths Now V1-TSm1a_EL9Kk.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/13. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt 1.3 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/05. Word Embeddings-4mM_S9L2_JQ.zh-CN.vtt 1.3 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.en.vtt 1.3 kB
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/12. NLPND POS 11 Viterbi Algorithm Idea V1-g0z9fm0yGL4.zh-CN.vtt 1.3 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/14. Summary-zKYEvRd2XmI.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.en.vtt 1.3 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/img/linear-equation.gif 1.3 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/01. Intro Arpan-MW5MWOLj064.en.vtt 1.3 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.pt-BR.vtt 1.3 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.pt-BR.vtt 1.2 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/01. Intro Arpan-MW5MWOLj064.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/12. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt 1.2 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/04. One-Hot Encoding-a0j1CDXFYZI.zh-CN.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/20. A New Paradigm-ojI5SVJ7Pas.zh-CN.vtt 1.2 kB
  • Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.en.vtt 1.2 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.en.vtt 1.2 kB
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/09. Writing READMEs with Walter-DQEfT2Zq5_o.zh-CN.vtt 1.2 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.en.vtt 1.2 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.en.vtt 1.2 kB
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/06. Forget Gate-iWxpfxLUPSU.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/03. SL NB 02 Known And Inferred V1 V2-DrYfZXiDLQI.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 05_Text Processing/14. Summary-zKYEvRd2XmI.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.en.vtt 1.1 kB
  • Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.en.vtt 1.1 kB
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.en.vtt 1.1 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/06. Modeling-P4w_2rkxBvE.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/12. Modeling-P4w_2rkxBvE.zh-CN.vtt 1.1 kB
  • Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.en.vtt 1.1 kB
  • Part 05-Module 01-Lesson 05_Text Processing/01. Text Processing-6LO6I5M18PQ.zh-CN.vtt 1.1 kB
  • Part 07-Module 01-Lesson 03_Speech Recognition/24. Outro-xMXF5PQxHnk.zh-CN.vtt 1.1 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/01. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt 1.1 kB
  • Part 05-Module 01-Lesson 04_Intro to NLP/08. Natural Language Processing-UQBxJzoCp-I.zh-CN.vtt 1.1 kB
  • Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.pt-BR.vtt 1.0 kB
  • Part 02-Module 01-Lesson 01_Building an NLP Pipeline/09. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt 1.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/12. Named Entity Recognition-QUQu2nsE7vE.zh-CN.vtt 1.0 kB
  • Part 05-Module 01-Lesson 05_Text Processing/14. Summary-zKYEvRd2XmI.zh-CN.vtt 984 Bytes
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.en.vtt 981 Bytes
  • Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.en.vtt 981 Bytes
  • Part 06-Module 01-Lesson 02_Topic Modeling/11. Latent Dirichlet Alocation-2wn8pNa6mg0.zh-CN.vtt 980 Bytes
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/01. Feature Extraction-Bd6TJB8eVLQ.zh-CN.vtt 970 Bytes
  • Part 03-Module 01-Lesson 01_Voice User Interfaces/10. Language Models-vrrP9fzJGSE.zh-CN.vtt 905 Bytes
  • Part 07-Module 01-Lesson 03_Speech Recognition/16. Language Models-vrrP9fzJGSE.zh-CN.vtt 905 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ar.vtt 812 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.ja-JP.vtt 777 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ar.vtt 768 Bytes
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.en.vtt 734 Bytes
  • Part 05-Module 01-Lesson 04_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.en.vtt 727 Bytes
  • Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.en.vtt 725 Bytes
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.en.vtt 716 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.pt-BR.vtt 705 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.en.vtt 702 Bytes
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.pt-BR.vtt 700 Bytes
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.pt-BR.vtt 690 Bytes
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.en.vtt 688 Bytes
  • Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.en.vtt 679 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ar.vtt 678 Bytes
  • Part 11-Module 01-Lesson 01_TensorFlow/17. Conclusion-wOiUQDgGD9E.zh-CN.vtt 655 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.en.vtt 634 Bytes
  • Part 08-Module 01-Lesson 02_Long Short-Term Memory Networks (LSTM)/07. Remember Gate-0qlm86HaXuU.zh-CN.vtt 632 Bytes
  • Part 05-Module 01-Lesson 06_Spam Classifier with Naive Bayes/01. Naive Bayes Intro V2-vNOiQXghgRY.zh-CN.vtt 631 Bytes
  • Part 06-Module 01-Lesson 02_Topic Modeling/15. Outro-y8vecBYUFPo.zh-CN.vtt 625 Bytes
  • Part 06-Module 01-Lesson 01_Feature extraction and embeddings/10. NLP Summary-B9ul8fsQYOA.zh-CN.vtt 624 Bytes
  • Part 05-Module 01-Lesson 04_Intro to NLP/04. Grammar-Jw3dA7xmoQ4.zh-CN.vtt 617 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.ja-JP.vtt 610 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/01. 3 Intro POS V1-EbPSP604JJA.zh-CN.vtt 609 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ar.vtt 608 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.ja-JP.vtt 599 Bytes
  • Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.en.vtt 586 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.en.vtt 578 Bytes
  • Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.pt-BR.vtt 574 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-ZwMY5rAAd7Q.zh-CN.vtt 556 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.pt-BR.vtt 551 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/10. NLPND POS 09 Quiz Which Path Is More Likely V1-1r1L_nJSzDs.zh-CN.vtt 550 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ar.vtt 542 Bytes
  • Part 09-Module 01-Lesson 01_Keras/06. Keras Lab-a50un22BsLI.zh-CN.vtt 540 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.pt-BR.vtt 538 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.en.vtt 501 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.ja-JP.vtt 492 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ar.vtt 490 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.ja-JP.vtt 484 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.en.vtt 476 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.ja-JP.vtt 473 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/12. Reflect on your commit messages-_0AHmKkfjTo.zh-CN.vtt 473 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.pt-BR.vtt 460 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.pt-BR.vtt 457 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.pt-BR.vtt 453 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.en.vtt 448 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/13. Participating in open source projects-OxL-gMTizUA.zh-CN.vtt 438 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.en.vtt 435 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.en.vtt 428 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.en.vtt 419 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/08. Quick Fixes #2-It6AEuSDQw0.zh-CN.vtt 410 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/11. NLPND POS 10 Solution Which Path Is More Likely V1-1qSN7BhUjDY.zh-CN.vtt 408 Bytes
  • Part 05-Module 01-Lesson 07_Part of Speech Tagging with HMMs/15. 4 Outro POS V1-Sv8mSXQT03Y.zh-CN.vtt 407 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/16. Starring interesting repositories-U3FUxkm1MxI.zh-CN.vtt 392 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.en.vtt 371 Bytes
  • Part 05-Module 02-Lesson 03_Optimize Your GitHub Profile/06. Identify fixes for example “bad” profile-AF07y1oAim0.zh-CN.vtt 357 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！