[DesireCourse.Net] Udemy - Deep Learning Advanced Computer Vision

磁力链接/BT种子名称

[DesireCourse.Net] Udemy - Deep Learning Advanced Computer Vision

磁力链接/BT种子简介

种子哈希：8072eebb1ceccfa50845c68d402f28f7f7722f5e
文件大小： 1.48G
已经下载：728次
下载速度：极快
收录时间：2022-02-13
最近下载：2025-08-15

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:8072EEBB1CECCFA50845C68D402F28F7F7722F5E
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 抖音Max TikTok成人版 PornHub 听泉鉴鲍 少女日记 草榴社区 哆哔涩漫 呦乐园 萝莉岛 悠悠禁区 悠悠禁区 拔萝卜 疯马秀

最近搜索

文件列表

  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
  • 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).mp4 109.9 MB
  • 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.mp4 102.0 MB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).mp4 86.5 MB
  • 8. Basics Review/1. (Review) Tensorflow Basics.mp4 85.5 MB
  • 9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
  • 8. Basics Review/4. (Review) Keras Neural Network in Code.mp4 69.4 MB
  • 1. Welcome/2. Outline and Perspective.mp4 64.9 MB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).mp4 63.7 MB
  • 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).mp4 56.0 MB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
  • 2. Review/1. Review of CNNs.mp4 42.8 MB
  • 9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
  • 8. Basics Review/5. (Review) Keras Functional API.mp4 40.5 MB
  • 3. VGG and Transfer Learning/3. Transfer Learning.mp4 40.0 MB
  • 8. Basics Review/3. (Review) Keras Discussion.mp4 29.0 MB
  • 5. Object Detection (SSD)/8. Modifying SSD to work on Video.mp4 26.0 MB
  • 9. Appendix FAQ/5. How to Code by Yourself (part 1).mp4 25.7 MB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.mp4 23.4 MB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.mp4 22.3 MB
  • 6. Neural Style Transfer/2. Style Transfer Theory.mp4 20.9 MB
  • 5. Object Detection (SSD)/7. SSD in Tensorflow.mp4 18.3 MB
  • 1. Welcome/1. Introduction.mp4 17.2 MB
  • 6. Neural Style Transfer/5. Code pt 2.mp4 16.5 MB
  • 9. Appendix FAQ/4. How to Succeed in this Course (Long Version).mp4 13.6 MB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.mp4 12.8 MB
  • 3. VGG and Transfer Learning/6. Code pt 1.mp4 12.1 MB
  • 4. ResNet (and Inception)/2. ResNet Architecture.mp4 10.9 MB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).mp4 10.8 MB
  • 8. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.mp4 10.3 MB
  • 6. Neural Style Transfer/4. Code pt 1.mp4 9.9 MB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.mp4 9.4 MB
  • 9. Appendix FAQ/6. How to Code by Yourself (part 2).mp4 9.1 MB
  • 3. VGG and Transfer Learning/7. Code pt 2.mp4 9.0 MB
  • 5. Object Detection (SSD)/4. How would you find an object in an image.mp4 8.2 MB
  • 2. Review/4. Review of CNNs in Code.mp4 8.0 MB
  • 4. ResNet (and Inception)/14. Different sized images using the same network.mp4 7.8 MB
  • 6. Neural Style Transfer/3. Optimizing the Loss.mp4 7.6 MB
  • 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.mp4 6.5 MB
  • 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.mp4 6.2 MB
  • 6. Neural Style Transfer/6. Code pt 3.mp4 6.0 MB
  • 5. Object Detection (SSD)/2. Object Localization.mp4 6.0 MB
  • 5. Object Detection (SSD)/1. SSD Section Intro.mp4 6.0 MB
  • 9. Appendix FAQ/10. Python 2 vs Python 3.mp4 5.7 MB
  • 9. Appendix FAQ/1. What is the Appendix.mp4 5.7 MB
  • 4. ResNet (and Inception)/13. Optional Inception.mp4 5.7 MB
  • 5. Object Detection (SSD)/3. What is Object Detection.mp4 5.0 MB
  • 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.mp4 4.8 MB
  • 3. VGG and Transfer Learning/8. Code pt 3.mp4 4.4 MB
  • 4. ResNet (and Inception)/15. ResNet Section Summary.mp4 4.4 MB
  • 5. Object Detection (SSD)/5. The Problem of Scale.mp4 4.4 MB
  • 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.mp4 4.2 MB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.mp4 4.1 MB
  • 5. Object Detection (SSD)/6. The Problem of Shape.mp4 3.8 MB
  • 4. ResNet (and Inception)/11. Applying ResNet.mp4 3.8 MB
  • 9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.mp4 3.5 MB
  • 1. Welcome/3. How to Succeed in this Course.mp4 3.5 MB
  • 2. Review/3. Fashion MNIST.mp4 3.5 MB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.mp4 3.3 MB
  • 4. ResNet (and Inception)/12. 1x1 Convolutions.mp4 3.3 MB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.mp4 3.1 MB
  • 5. Object Detection (SSD)/10. SSD Section Summary.mp4 3.0 MB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.mp4 2.8 MB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.mp4 2.6 MB
  • 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.mp4 2.5 MB
  • 2. Review/2. Where to get the code and data.mp4 2.3 MB
  • 4. ResNet (and Inception)/10. Exercise Apply ResNet.mp4 2.2 MB
  • 3. VGG and Transfer Learning/5. Getting the data.mp4 1.9 MB
  • 9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt 32.6 kB
  • 9. Appendix FAQ/8. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt 28.4 kB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).srt 23.6 kB
  • 9. Appendix FAQ/5. How to Code by Yourself (part 1).srt 23.3 kB
  • 9. Appendix FAQ/12. What order should I take your courses in (part 2).vtt 20.7 kB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt 20.6 kB
  • 9. Appendix FAQ/5. How to Code by Yourself (part 1).vtt 20.3 kB
  • 9. Appendix FAQ/2. Windows-Focused Environment Setup 2018.vtt 17.8 kB
  • 4. ResNet (and Inception)/2. ResNet Architecture.srt 16.9 kB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).srt 16.4 kB
  • 9. Appendix FAQ/4. How to Succeed in this Course (Long Version).srt 15.0 kB
  • 4. ResNet (and Inception)/2. ResNet Architecture.vtt 14.9 kB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt 14.8 kB
  • 6. Neural Style Transfer/2. Style Transfer Theory.srt 14.8 kB
  • 9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.srt 14.5 kB
  • 9. Appendix FAQ/11. What order should I take your courses in (part 1).vtt 14.4 kB
  • 2. Review/1. Review of CNNs.srt 14.2 kB
  • 9. Appendix FAQ/6. How to Code by Yourself (part 2).srt 13.5 kB
  • 9. Appendix FAQ/4. How to Succeed in this Course (Long Version).vtt 13.2 kB
  • 6. Neural Style Transfer/2. Style Transfer Theory.vtt 13.0 kB
  • 9. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt 12.7 kB
  • 9. Appendix FAQ/7. Proof that using Jupyter Notebook is the same as not using it.vtt 12.5 kB
  • 3. VGG and Transfer Learning/6. Code pt 1.srt 12.5 kB
  • 2. Review/1. Review of CNNs.vtt 12.5 kB
  • 9. Appendix FAQ/6. How to Code by Yourself (part 2).vtt 11.9 kB
  • 5. Object Detection (SSD)/7. SSD in Tensorflow.srt 11.4 kB
  • 3. VGG and Transfer Learning/6. Code pt 1.vtt 11.0 kB
  • 5. Object Detection (SSD)/4. How would you find an object in an image.srt 10.7 kB
  • 3. VGG and Transfer Learning/3. Transfer Learning.srt 10.6 kB
  • 6. Neural Style Transfer/3. Optimizing the Loss.srt 10.6 kB
  • 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).srt 10.3 kB
  • 5. Object Detection (SSD)/7. SSD in Tensorflow.vtt 9.9 kB
  • 6. Neural Style Transfer/4. Code pt 1.srt 9.8 kB
  • 3. VGG and Transfer Learning/3. Transfer Learning.vtt 9.4 kB
  • 5. Object Detection (SSD)/4. How would you find an object in an image.vtt 9.4 kB
  • 6. Neural Style Transfer/5. Code pt 2.srt 9.4 kB
  • 8. Basics Review/3. (Review) Keras Discussion.srt 9.3 kB
  • 6. Neural Style Transfer/3. Optimizing the Loss.vtt 9.3 kB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.srt 9.3 kB
  • 1. Welcome/2. Outline and Perspective.srt 9.1 kB
  • 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).srt 9.0 kB
  • 7. Bonus Class Activation Maps/2. Class Activation Maps (Code).vtt 8.9 kB
  • 4. ResNet (and Inception)/13. Optional Inception.srt 8.8 kB
  • 6. Neural Style Transfer/4. Code pt 1.vtt 8.5 kB
  • 5. Object Detection (SSD)/2. Object Localization.srt 8.3 kB
  • 8. Basics Review/3. (Review) Keras Discussion.vtt 8.2 kB
  • 6. Neural Style Transfer/5. Code pt 2.vtt 8.2 kB
  • 3. VGG and Transfer Learning/2. What's so special about VGG.vtt 8.1 kB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.srt 8.0 kB
  • 1. Welcome/2. Outline and Perspective.vtt 8.0 kB
  • 7. Bonus Class Activation Maps/1. Class Activation Maps (Theory).vtt 7.9 kB
  • 4. ResNet (and Inception)/13. Optional Inception.vtt 7.8 kB
  • 2. Review/4. Review of CNNs in Code.srt 7.6 kB
  • 8. Basics Review/4. (Review) Keras Neural Network in Code.srt 7.5 kB
  • 5. Object Detection (SSD)/2. Object Localization.vtt 7.4 kB
  • 4. ResNet (and Inception)/5. Building ResNet - Conv Block Code.vtt 7.0 kB
  • 2. Review/4. Review of CNNs in Code.vtt 6.7 kB
  • 8. Basics Review/4. (Review) Keras Neural Network in Code.vtt 6.6 kB
  • 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.srt 6.5 kB
  • 5. Object Detection (SSD)/1. SSD Section Intro.srt 6.3 kB
  • 9. Appendix FAQ/10. Python 2 vs Python 3.srt 6.2 kB
  • 8. Basics Review/1. (Review) Tensorflow Basics.srt 6.0 kB
  • 5. Object Detection (SSD)/8. Modifying SSD to work on Video.srt 5.8 kB
  • 5. Object Detection (SSD)/9. Optional Intersection over Union & Non-max Suppression.vtt 5.7 kB
  • 4. ResNet (and Inception)/14. Different sized images using the same network.srt 5.7 kB
  • 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.srt 5.6 kB
  • 5. Object Detection (SSD)/1. SSD Section Intro.vtt 5.6 kB
  • 8. Basics Review/5. (Review) Keras Functional API.srt 5.5 kB
  • 9. Appendix FAQ/10. Python 2 vs Python 3.vtt 5.4 kB
  • 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.srt 5.3 kB
  • 8. Basics Review/1. (Review) Tensorflow Basics.vtt 5.2 kB
  • 5. Object Detection (SSD)/8. Modifying SSD to work on Video.vtt 5.1 kB
  • 4. ResNet (and Inception)/12. 1x1 Convolutions.srt 5.0 kB
  • 4. ResNet (and Inception)/14. Different sized images using the same network.vtt 5.0 kB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).srt 4.9 kB
  • 3. VGG and Transfer Learning/7. Code pt 2.srt 4.9 kB
  • 8. Basics Review/2. (Review) Tensorflow Neural Network in Code.vtt 4.9 kB
  • 8. Basics Review/5. (Review) Keras Functional API.vtt 4.8 kB
  • 5. Object Detection (SSD)/5. The Problem of Scale.srt 4.7 kB
  • 5. Object Detection (SSD)/6. The Problem of Shape.srt 4.7 kB
  • 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.srt 4.6 kB
  • 2. Review/3. Fashion MNIST.srt 4.6 kB
  • 4. ResNet (and Inception)/9. Building ResNet - Putting it all together.vtt 4.6 kB
  • 6. Neural Style Transfer/6. Code pt 3.srt 4.6 kB
  • 3. VGG and Transfer Learning/8. Code pt 3.srt 4.5 kB
  • 4. ResNet (and Inception)/12. 1x1 Convolutions.vtt 4.4 kB
  • 4. ResNet (and Inception)/8. Building ResNet - First Few Layers (Code).vtt 4.3 kB
  • 3. VGG and Transfer Learning/7. Code pt 2.vtt 4.3 kB
  • 5. Object Detection (SSD)/6. The Problem of Shape.vtt 4.1 kB
  • 5. Object Detection (SSD)/5. The Problem of Scale.vtt 4.1 kB
  • 4. ResNet (and Inception)/4. Building ResNet - Conv Block Details.vtt 4.1 kB
  • 1. Welcome/3. How to Succeed in this Course.srt 4.1 kB
  • 2. Review/3. Fashion MNIST.vtt 4.0 kB
  • 6. Neural Style Transfer/6. Code pt 3.vtt 4.0 kB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.srt 3.9 kB
  • 3. VGG and Transfer Learning/8. Code pt 3.vtt 3.9 kB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.srt 3.8 kB
  • 9. Appendix FAQ/1. What is the Appendix.srt 3.8 kB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.srt 3.8 kB
  • 5. Object Detection (SSD)/3. What is Object Detection.srt 3.7 kB
  • 5. Object Detection (SSD)/10. SSD Section Summary.srt 3.6 kB
  • 1. Welcome/3. How to Succeed in this Course.vtt 3.6 kB
  • 9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.srt 3.5 kB
  • 3. VGG and Transfer Learning/1. VGG Section Intro.vtt 3.5 kB
  • 4. ResNet (and Inception)/1. ResNet Section Intro.vtt 3.4 kB
  • 6. Neural Style Transfer/1. Style Transfer Section Intro.vtt 3.4 kB
  • 9. Appendix FAQ/1. What is the Appendix.vtt 3.4 kB
  • 1. Welcome/1. Introduction.srt 3.3 kB
  • 5. Object Detection (SSD)/3. What is Object Detection.vtt 3.2 kB
  • 2. Review/2. Where to get the code and data.srt 3.2 kB
  • 5. Object Detection (SSD)/10. SSD Section Summary.vtt 3.2 kB
  • 4. ResNet (and Inception)/11. Applying ResNet.srt 3.2 kB
  • 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.srt 3.1 kB
  • 9. Appendix FAQ/9. Where to get discount coupons and FREE deep learning material.vtt 3.1 kB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.srt 3.0 kB
  • 4. ResNet (and Inception)/15. ResNet Section Summary.srt 3.0 kB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.srt 3.0 kB
  • 1. Welcome/1. Introduction.vtt 2.9 kB
  • 3. VGG and Transfer Learning/5. Getting the data.srt 2.9 kB
  • 2. Review/2. Where to get the code and data.vtt 2.8 kB
  • 4. ResNet (and Inception)/11. Applying ResNet.vtt 2.8 kB
  • 4. ResNet (and Inception)/7. Building ResNet - First Few Layers.vtt 2.7 kB
  • 4. ResNet (and Inception)/3. Building ResNet - Strategy.vtt 2.7 kB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.srt 2.7 kB
  • 6. Neural Style Transfer/7. Style Transfer Section Summary.vtt 2.6 kB
  • 4. ResNet (and Inception)/15. ResNet Section Summary.vtt 2.6 kB
  • 3. VGG and Transfer Learning/5. Getting the data.vtt 2.6 kB
  • 3. VGG and Transfer Learning/4. Relationship to Greedy Layer-Wise Pretraining.vtt 2.4 kB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.srt 2.1 kB
  • 8. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.srt 2.1 kB
  • 3. VGG and Transfer Learning/9. VGG Section Summary.vtt 1.9 kB
  • 8. Basics Review/6. (Review) How to easily convert Keras into Tensorflow 2.0 code.vtt 1.9 kB
  • 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.srt 1.8 kB
  • 4. ResNet (and Inception)/10. Exercise Apply ResNet.srt 1.6 kB
  • 4. ResNet (and Inception)/6. Building ResNet - Identity Block Details.vtt 1.6 kB
  • 4. ResNet (and Inception)/10. Exercise Apply ResNet.vtt 1.4 kB
  • [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！