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PyTorch Essential Training Deep Learning 2024 CourseWikia

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Files:
  1. Get Bonus Downloads Here.url 181 bytes
  2. 01 - Deep learning with PyTorch.mp4 2.3 MB
  3. 01 - Deep learning with PyTorch.srt 994 bytes
  4. 02 - What you should know.mp4 2.7 MB
  5. 02 - What you should know.srt 2.0 KB
  6. 03 - Tour of CoderPad.mp4 5.9 MB
  7. 03 - Tour of CoderPad.srt 5.0 KB
  8. 01 - Introduction to deep learning.mp4 7.7 MB
  9. 01 - Introduction to deep learning.srt 6.3 KB
  10. 02 - Why should you use PyTorch.mp4 3.7 MB
  11. 02 - Why should you use PyTorch.srt 2.9 KB
  12. 03 - Google Colaboratory basics.mp4 5.4 MB
  13. 03 - Google Colaboratory basics.srt 4.8 KB
  14. 01 - Introduction to tensors.mp4 6.3 MB
  15. 01 - Introduction to tensors.srt 4.9 KB
  16. 02 - Creating a tensor CPU example.mp4 2.9 MB
  17. 02 - Creating a tensor CPU example.srt 2.7 KB
  18. 03 - Creating a tensor GPU example.mp4 2.8 MB
  19. 03 - Creating a tensor GPU example.srt 2.4 KB
  20. 04 - Moving tensors between CPUs and GPUs.mp4 3.7 MB
  21. 04 - Moving tensors between CPUs and GPUs.srt 2.7 KB
  22. 01 - Different ways to create tensors.mp4 8.0 MB
  23. 01 - Different ways to create tensors.srt 5.3 KB
  24. 02 - Tensor attributes.mp4 3.9 MB
  25. 02 - Tensor attributes.srt 3.1 KB
  26. 03 - Tensor data types.mp4 6.2 MB
  27. 03 - Tensor data types.srt 4.2 KB
  28. 04 - Creating tensors from random samples.mp4 5.2 MB
  29. 04 - Creating tensors from random samples.srt 3.6 KB
  30. 05 - Creating tensors like other tensors.mp4 3.9 MB
  31. 05 - Creating tensors like other tensors.srt 3.0 KB
  32. 06 - Solution Create tensors.mp4 4.3 MB
  33. 06 - Solution Create tensors.srt 2.7 KB
  34. 01 - Tensor operations.mp4 9.6 MB
  35. 01 - Tensor operations.srt 6.7 KB
  36. 02 - Mathematical functions.mp4 6.1 MB
  37. 02 - Mathematical functions.srt 5.5 KB
  38. 03 - Linear algebra operations.mp4 8.1 MB
  39. 03 - Linear algebra operations.srt 5.7 KB
  40. 04 - Automatic differentiation (Autograd).mp4 10.4 MB
  41. 04 - Automatic differentiation (Autograd).srt 9.1 KB
  42. 05 - Solution Split tensors to form new tensors.mp4 4.5 MB
  43. 05 - Solution Split tensors to form new tensors.srt 2.7 KB
  44. 01 - Introduction to the DL training process.mp4 4.6 MB
  45. 01 - Introduction to the DL training process.srt 4.0 KB
  46. 02 - Data preparation.mp4 2.7 MB
  47. 02 - Data preparation.srt 2.2 KB
  48. 03 - Data loading.mp4 4.9 MB
  49. 03 - Data loading.srt 3.9 KB
  50. 04 - Data transforms.mp4 5.4 MB
  51. 04 - Data transforms.srt 4.3 KB
  52. 05 - Data batching.mp4 6.1 MB
  53. 05 - Data batching.srt 4.5 KB
  54. 06 - Model development and training.mp4 9.9 MB
  55. 06 - Model development and training.srt 7.4 KB
  56. 07 - Validation and testing.mp4 10.6 MB
  57. 07 - Validation and testing.srt 6.5 KB
  58. 01 - Next steps.mp4 1.5 MB
  59. 01 - Next steps.srt 1.4 KB
  60. Bonus Resources.txt 386 bytes

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