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[FreeCourseSite.com] Udemy - Complete Guide to TensorFlow for Deep Learning with Python

01 Introduction/001 Introduction-subtitle-en.srt 4.6 kB
01 Introduction/001 Introduction.mp4 12.5 MB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _)-subtitle-en.srt 17.6 kB
01 Introduction/002 Course Overview -- PLEASE DON'T SKIP THIS LECTURE! Thanks _).mp4 17.2 MB
01 Introduction/002 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
01 Introduction/003 FAQ - Frequently Asked Questions.html 1.6 kB
01 Introduction/003 FULL-TENSORFLOW-NOTES-AND-DATA.zip 314.2 MB
02 Installation and Setup/004 Quick Note for MacOS and Linux Users.html 3.1 kB
02 Installation and Setup/005 Installing TensorFlow Environment-subtitle-en.srt 20.9 kB
02 Installation and Setup/005 Installing TensorFlow Environment.mp4 29.2 MB
03 What is Machine Learning_/006 Machine Learning Overview-subtitle-en.srt 28.2 kB
03 What is Machine Learning_/006 Machine Learning Overview.mp4 31.9 MB
03 What is Machine Learning_/external_links.txt 130 Bytes
04 Crash Course Overview/007 Crash Course Section Introduction-subtitle-en.srt 2.1 kB
04 Crash Course Overview/007 Crash Course Section Introduction.mp4 2.3 MB
04 Crash Course Overview/008 NumPy Crash Course-subtitle-en.srt 24.8 kB
04 Crash Course Overview/008 NumPy Crash Course.mp4 34.1 MB
04 Crash Course Overview/009 Pandas Crash Course-subtitle-en.srt 7.1 kB
04 Crash Course Overview/009 Pandas Crash Course.mp4 9.5 MB
04 Crash Course Overview/010 Data Visualization Crash Course-subtitle-en.srt 12.1 kB

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[ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 6

~Get Your Files Here !/3. Large-scale Transformer Models/3. Switch Transformers.mp4 303.5 MB
~Get Your Files Here !/3. Large-scale Transformer Models/2. GShard.mp4 240.7 MB
~Get Your Files Here !/2. Multi-modal Transformer Models/3. vilBERT.mp4 179.0 MB
~Get Your Files Here !/2. Multi-modal Transformer Models/2. VisualBERT.mp4 175.5 MB
~Get Your Files Here !/1. Popular Transformer Encoder and Decoder Models/4. DeBERTa.mp4 158.6 MB
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~Get Your Files Here !/3. Large-scale Transformer Models/1. Introduction.mp4 7.9 MB
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~Get Your Files Here !/2. Multi-modal Transformer Models/4. Summary.mp4 6.6 MB
~Get Your Files Here !/2. Multi-modal Transformer Models/1. Introduction.mp4 4.7 MB
~Get Your Files Here !/3. Large-scale Transformer Models/3. Switch Transformers-en_US.srt 44.3 kB
~Get Your Files Here !/3. Large-scale Transformer Models/2. GShard-en_US.srt 35.8 kB
~Get Your Files Here !/2. Multi-modal Transformer Models/3. vilBERT-en_US.srt 23.8 kB
~Get Your Files Here !/2. Multi-modal Transformer Models/2. VisualBERT-en_US.srt 23.6 kB
~Get Your Files Here !/1. Popular Transformer Encoder and Decoder Models/5. DialoGPT-en_US.srt 22.3 kB
~Get Your Files Here !/1. Popular Transformer Encoder and Decoder Models/4. DeBERTa-en_US.srt 22.2 kB

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[DesireCourse.Com] Udemy - Modern Deep Learning in Python

[DesireCourse.Com] Udemy - Modern Deep Learning in Python.zip 415.1 MB
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[FreeCourseSite.com] Udemy - Deep Learning with TensorFlow 2.0 [2020]

14. Appendix Linear Algebra Fundamentals/11. Why is Linear Algebra Useful.mp4 151.3 MB
1. Welcome! Course introduction/1. Meet your instructors and why you should study machine learning.mp4 110.9 MB
13. Business case/4. Preprocessing the data.mp4 88.4 MB
13. Business case/1. Exploring the dataset and identifying predictors.mp4 69.5 MB
13. Business case/9. Setting an early stopping mechanism.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/3. Linear Algebra and Geometry.mp4 52.2 MB
14. Appendix Linear Algebra Fundamentals/10. Dot Product of Matrices.mp4 51.8 MB
12. The MNIST example/6. Preprocess the data - shuffle and batch the data.mp4 43.6 MB
12. The MNIST example/10. Learning.mp4 42.9 MB
2. Introduction to neural networks/24. N-parameter gradient descent.mp4 41.4 MB
3. Setting up the working environment/9. Installing TensorFlow 2.mp4 40.6 MB
2. Introduction to neural networks/12. The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
14. Appendix Linear Algebra Fundamentals/8. Transpose of a Matrix.mp4 39.9 MB
5. TensorFlow - An introduction/5. Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
14. Appendix Linear Algebra Fundamentals/2. Scalars and Vectors.mp4 35.5 MB
14. Appendix Linear Algebra Fundamentals/1. What is a Matrix.mp4 35.2 MB
5. TensorFlow - An introduction/1. TensorFlow outline.mp4 35.2 MB
14. Appendix Linear Algebra Fundamentals/6. Addition and Subtraction of Matrices.mp4 34.2 MB
3. Setting up the working environment/2. Why Python and why Jupyter.mp4 33.6 MB
13. Business case/8. Learning and interpreting the result.mp4 32.7 MB

[磁力链接] 添加时间:2021-04-21 大小:2.0 GB 最近下载:2025-10-07 热度:1351

[ FreeCourseWeb.com ] Udemy - Create Deep Learning Computer Vision Apps using Python 2020.zip

[ FreeCourseWeb.com ] Udemy - Create Deep Learning Computer Vision Apps using Python 2020.zip 1.8 GB

[磁力链接] 添加时间:2022-03-14 大小:1.8 GB 最近下载:2025-06-12 热度:1350

[GigaCourse.com] Udemy - Deep Learning with Keras and Tensorflow in Python and R

15. R - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 226.6 MB
12. Python - Regression problems and Functional API/1. Building Neural Network for Regression Problem.mp4 163.4 MB
14. Python - Saving and Restoring Models/1. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
13. R - Regression Problem and Functional API/1. Building Regression Model with Functional AP.mp4 137.5 MB
11. R - Building and training the Model/1. Building,Compiling and Training.mp4 137.1 MB
5. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
9. Dataset for classification problem/3. R - Dataset, Normalization and Test-Train set.mp4 117.2 MB
18. Add on Data Preprocessing/16. Bi-variate Analysis and Variable Transformation.mp4 105.4 MB
11. R - Building and training the Model/2. Evaluating and Predicting.mp4 104.1 MB
18. Add on Data Preprocessing/8. EDD in R.mp4 101.7 MB
3. Setting up R Studio and R Crash Course/7. Creating Barplots in R.mp4 101.5 MB
12. Python - Regression problems and Functional API/2. Using Functional API for complex architectures.mp4 96.6 MB
4. Single Cells - Perceptron and Sigmoid Neuron/3. Python - Creating Perceptron model.mp4 90.8 MB
3. Setting up R Studio and R Crash Course/3. Packages in R.mp4 87.0 MB
10. Python - Building and training the Model/3. Compiling and Training the Neural Network model.mp4 85.6 MB
13. R - Regression Problem and Functional API/2. Complex Architectures using Functional API.mp4 83.4 MB
10. Python - Building and training the Model/2. Building the Neural Network using Keras.mp4 83.0 MB
19. Test Train Split/4. Test train split in R.mp4 79.3 MB
18. Add on Data Preprocessing/10. Outlier Treatment in Python.mp4 73.7 MB
10. Python - Building and training the Model/4. Evaluating performance and Predicting using Keras.mp4 73.3 MB

[磁力链接] 添加时间:2021-04-29 大小:4.3 GB 最近下载:2025-09-26 热度:1349

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[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

16 Projects/002 Project - 2.mp4 114.4 MB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 90.1 MB
16 Projects/003 Project - 3.mp4 86.3 MB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 83.2 MB
05 Numpy Library/005 Numpy Functions.mp4 81.2 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 75.8 MB
06 Using Pandas for Data Manipulation/002 Series and Features.mp4 70.4 MB
03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 69.6 MB
05 Numpy Library/007 Numpy Exercises.mp4 66.1 MB
04 Object Oriented Programming/005 Overriding and Overloading.mp4 61.7 MB
11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 58.8 MB
08 Matplotlib/005 Figure Customization.mp4 57.3 MB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 57.0 MB
07 Data Frame with Pandas/011 Work with Dataset Files.mp4 56.8 MB
08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 53.9 MB
03 Fundamentals of Python/004 Loops.mp4 51.5 MB
03 Fundamentals of Python/010 Exercise Solution.mp4 50.0 MB
12 Artificial Neural Network/004 Tensor Operations.mp4 49.9 MB
03 Fundamentals of Python/001 Data Types in Python.mp4 43.1 MB
03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 42.4 MB

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[ FreeCourseWeb.com ] Udemy - Deep Learning for NLP - Part 7

~Get Your Files Here !/3. Compression of Deep Learning Models Quantization/4. General Quantized networks.mp4 306.6 MB
~Get Your Files Here !/2. Compression of Deep Learning Models Pruning/2. Pruning weights.mp4 304.3 MB
~Get Your Files Here !/5. Compression of Deep Learning Models Parameter sharing/3. Parameter sharing in the embedding matrix.mp4 274.1 MB
~Get Your Files Here !/4. Compression of Deep Learning Models Knowledge Distillation/2. Various distillation architectures.mp4 259.6 MB
~Get Your Files Here !/4. Compression of Deep Learning Models Knowledge Distillation/6. Distilling Transformers.mp4 223.8 MB
~Get Your Files Here !/2. Compression of Deep Learning Models Pruning/5. Pruning heads and layers.mp4 177.4 MB
~Get Your Files Here !/7. Compression of Deep Learning Models Applications, Summary and Future Trends/3. Summary and future trends.mp4 157.6 MB
~Get Your Files Here !/3. Compression of Deep Learning Models Quantization/3. Ternarized networks.mp4 146.6 MB
~Get Your Files Here !/4. Compression of Deep Learning Models Knowledge Distillation/4. Multiple teachers.mp4 141.3 MB
~Get Your Files Here !/7. Compression of Deep Learning Models Applications, Summary and Future Trends/2. Applications.mp4 137.0 MB
~Get Your Files Here !/3. Compression of Deep Learning Models Quantization/2. Binarized networks.mp4 130.9 MB
~Get Your Files Here !/5. Compression of Deep Learning Models Parameter sharing/2. Character-aware language models.mp4 108.3 MB
~Get Your Files Here !/6. Compression of Deep Learning Models Matrix decomposition/2. Two low-rank factors.mp4 107.7 MB
~Get Your Files Here !/6. Compression of Deep Learning Models Matrix decomposition/3. Factorizing into blocks.mp4 95.9 MB
~Get Your Files Here !/4. Compression of Deep Learning Models Knowledge Distillation/5. Adversarial methods.mp4 91.3 MB
~Get Your Files Here !/6. Compression of Deep Learning Models Matrix decomposition/5. Block-Term tensor decomposition.mp4 90.6 MB
~Get Your Files Here !/1. Introduction to Model Compression/2. Need for compression of deep learning models.mp4 90.3 MB
~Get Your Files Here !/2. Compression of Deep Learning Models Pruning/3. Pruning neurons.mp4 82.5 MB
~Get Your Files Here !/1. Introduction to Model Compression/3. Broad overview of popular ways of model compression.mp4 72.5 MB
~Get Your Files Here !/5. Compression of Deep Learning Models Parameter sharing/4. Parameter sharing in Transformers.mp4 46.7 MB

[磁力链接] 添加时间:2022-01-18 大小:3.3 GB 最近下载:2025-09-18 热度:1340

[GigaCourse.Com] Udemy - Machine Learning, Deep Learning and Bayesian Learning

03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

[磁力链接] 添加时间:2022-05-14 大小:5.9 GB 最近下载:2025-10-06 热度:1340

[FTUForum.com] [UDEMY] Master Computer Vision™ OpenCV4 in Python with Deep Learning [FTU]

19. BONUS - Object Detection - Use SSDs (Single Shot Detector) for Detecting Objects/1.1 SSDOpenCV.tar.gz.gz 149.5 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1.1 DeepLearningCV_MOCV.tar.gz.gz 142.0 MB
1. Course Introduction and Setup/9.1 MasteringComputerVision_V1.03.zip.zip 133.7 MB
18. BONUS - Neural Style Transfer with OpenCV/1.1 NeuralStyleTransfer.tar.gz.gz 126.7 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/9. Regularization, Overfitting, Generalization and Test Datasets.mp4 124.1 MB
1. Course Introduction and Setup/5.1 masteropencv4_v1.5.tar.gz.gz 121.8 MB
20. BONUS - Colorize Black and White Images/1.1 colorize.tar.gz.gz 120.1 MB
16. BONUS - Deep Learning Computer Vision 5 - Build a Cats vs Dogs Classifier/2. Splitting Data into Test and Training Datasets.mp4 108.8 MB
14. BONUS - Deep Learning Computer Vision 3 - Convolutional Neural Networks (CNNs)/3. Convolutions & Image Features.mp4 107.4 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/8. Backpropagation & Learning Rates – A Worked Example.mp4 104.7 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/1. Setup your Deep Learning Virtual Machine.mp4 81.2 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.vtt 78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/12. Building a Simple Image Classifier using CIFAR10.mp4 78.0 MB
15. BONUS - Deep Learning Computer Vision 4 - Build CNNs in Python using Keras/2. Building a CNN in Keras.mp4 77.3 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/7. Training Part 2 – Backpropagation and Gradient Descent.mp4 76.2 MB
12. BONUS - Deep Learning Computer Vision 1 - Setup a Deep Learning Virtual Machine/2. Intro to Handwritten Digit Classification (MNIST).mp4 70.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/4. Forward Propagation.mp4 66.4 MB
8. Simple Machine Learning using OpenCV/2. Mini Project 9 - Handwritten Digit Classification.mp4 63.5 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/5. Activation Functions.mp4 62.6 MB
13. BONUS - Deep Learning Computer Vision 2 - Introduction to Neural Networks/6. Training Part 1 – Loss Functions.mp4 61.3 MB

[磁力链接] 添加时间:2021-03-22 大小:3.9 GB 最近下载:2025-09-28 热度:1338

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[ DevCourseWeb.com ] Udemy - Coding Interview Companion for AI and Deep Learning.zip

[ DevCourseWeb.com ] Udemy - Coding Interview Companion for AI and Deep Learning.zip 1.6 GB

[磁力链接] 添加时间:2021-04-17 大小:1.6 GB 最近下载:2025-10-05 热度:1329

[ DevCourseWeb.com ] Udemy - Git&GitHub Deep Dive and Best Practice 2020.zip

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