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https://github.com/arjuntheprogrammer/pytorch-neuralnetworkprogramming


https://github.com/arjuntheprogrammer/pytorch-neuralnetworkprogramming

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# Neural Network Programming - Deep Learning with PyTorch

YouTube Playlist:

BLOG REFERENCE:

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## Course Lessons

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

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