Neural Network Programming - Deep Learning with PyTorch

Neural Network Programming - Deep Learning with PyTorch

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PyTorch Prerequisites - Syllabus for Neural Network Programming Course

1 of 39

1 of 39

PyTorch Prerequisites - Syllabus for Neural Network Programming Course

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Neural Network Programming - Deep Learning with PyTorch

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  1. 1 PyTorch Prerequisites - Syllabus for Neural Network Programming Course
  2. 2 PyTorch Explained - Python Deep Learning Neural Network API
  3. 3 PyTorch Install - Quick and Easy
  4. 4 CUDA Explained - Why Deep Learning uses GPUs
  5. 5 Tensors Explained - Data Structures of Deep Learning
  6. 6 Rank, Axes, and Shape Explained - Tensors for Deep Learning
  7. 7 CNN Tensor Shape Explained - Convolutional Neural Networks and Feature Maps
  8. 8 PyTorch Tensors Explained - Neural Network Programming
  9. 9 Creating PyTorch Tensors for Deep Learning - Best Options
  10. 10 Flatten, Reshape, and Squeeze Explained - Tensors for Deep Learning with PyTorch
  11. 11 CNN Flatten Operation Visualized - Tensor Batch Processing for Deep Learning
  12. 12 Tensors for Deep Learning - Broadcasting and Element-wise Operations with PyTorch
  13. 13 Code for Deep Learning - ArgMax and Reduction Tensor Ops
  14. 14 Dataset for Deep Learning - Fashion MNIST
  15. 15 CNN Image Preparation Code Project - Learn to Extract, Transform, Load (ETL)
  16. 16 PyTorch Datasets and DataLoaders - Training Set Exploration for Deep Learning and AI
  17. 17 Build PyTorch CNN - Object Oriented Neural Networks
  18. 18 CNN Layers - PyTorch Deep Neural Network Architecture
  19. 19 CNN Weights - Learnable Parameters in PyTorch Neural Networks
  20. 20 Callable Neural Networks - Linear Layers in Depth
  21. 21 How to Debug PyTorch Source Code - Deep Learning in Python
  22. 22 CNN Forward Method - PyTorch Deep Learning Implementation
  23. 23 CNN Image Prediction with PyTorch - Forward Propagation Explained
  24. 24 Neural Network Batch Processing - Pass Image Batch to PyTorch CNN
  25. 25 CNN Output Size Formula - Bonus Neural Network Debugging Session
  26. 26 CNN Training with Code Example - Neural Network Programming Course
  27. 27 CNN Training Loop Explained - Neural Network Code Project
  28. 28 CNN Confusion Matrix with PyTorch - Neural Network Programming
  29. 29 Stack vs Concat in PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops
  30. 30 TensorBoard with PyTorch - Visualize Deep Learning Metrics
  31. 31 Hyperparameter Tuning and Experimenting - Training Deep Neural Networks
  32. 32 Training Loop Run Builder - Neural Network Experimentation Code
  33. 33 CNN Training Loop Refactoring - Simultaneous Hyperparameter Testing
  34. 34 PyTorch DataLoader num_workers - Deep Learning Speed Limit Increase
  35. 35 PyTorch on the GPU - Training Neural Networks with CUDA
  36. 36 PyTorch Dataset Normalization - torchvision.transforms.Normalize()
  37. 37 PyTorch DataLoader Source Code - Debugging Session
  38. 38 PyTorch Sequential Models - Neural Networks Made Easy
  39. 39 Batch Norm in PyTorch - Add Normalization to Conv Net Layers

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