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[] Linkedin - PyTorch Essential Training Deep Learning

  • 收录时间:2019-11-16 19:03:00
  • 文件大小:241MB
  • 下载次数:94
  • 最近下载:2021-01-23 04:46:16
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文件列表

  1. 03 - Working with Classes and Tensors/01 - Classes.mp4 49MB
  2. 04 - Working with Loss, Autograd, and Optimizers/01 - Loss.mp4 41MB
  3. 02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.mp4 33MB
  4. 05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.mp4 15MB
  5. 06 - Conclusion/01 - Future project ideas.mp4 14MB
  6. 05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.mp4 11MB
  7. 04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.mp4 11MB
  8. 02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.mp4 11MB
  9. 04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.mp4 10MB
  10. 01 - Introduction/01 - Welcome.mp4 9MB
  11. 04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.mp4 9MB
  12. 05 - Troubleshooting and CPUGPU Usage/03 - Validation.mp4 8MB
  13. 03 - Working with Classes and Tensors/02 - Tensors.mp4 7MB
  14. 03 - Working with Classes and Tensors/03 - Training the network.mp4 6MB
  15. 01 - Introduction/02 - What you should know before watching this course.mp4 4MB
  16. 04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.mp4 3MB
  17. Exercise Files/Ex_Files_PyTorch_EssT_DL.zip 52KB
  18. 05 - Troubleshooting and CPUGPU Usage/02 - CPU to GPU.srt 9KB
  19. 02 - Fashion MNIST and Neural Networks/02 - Neural network intuition.srt 9KB
  20. 04 - Working with Loss, Autograd, and Optimizers/01 - Loss.srt 8KB
  21. 05 - Troubleshooting and CPUGPU Usage/01 - Troubleshooting.srt 8KB
  22. 04 - Working with Loss, Autograd, and Optimizers/02 - Autograd.srt 7KB
  23. 03 - Working with Classes and Tensors/01 - Classes.srt 6KB
  24. 02 - Fashion MNIST and Neural Networks/01 - Working with the Fashion MNIST dataset.srt 6KB
  25. 04 - Working with Loss, Autograd, and Optimizers/03 - Autograd with tensors.srt 6KB
  26. 03 - Working with Classes and Tensors/02 - Tensors.srt 6KB
  27. 03 - Working with Classes and Tensors/03 - Training the network.srt 6KB
  28. 04 - Working with Loss, Autograd, and Optimizers/05 - Using optimizers.srt 5KB
  29. 05 - Troubleshooting and CPUGPU Usage/03 - Validation.srt 5KB
  30. 04 - Working with Loss, Autograd, and Optimizers/04 - Optimizers.srt 4KB
  31. 06 - Conclusion/01 - Future project ideas.srt 3KB
  32. 01 - Introduction/01 - Welcome.srt 2KB
  33. 01 - Introduction/02 - What you should know before watching this course.srt 1KB
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  38. 0. Websites you may like/How you can help Team-FTU.txt 237B
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