PyTorch Beginner Tutorials from my YouTube channel.

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  1. Installation
  2. Tensor Basics
  3. Autograd
  4. Backpropagation
  5. Gradient Descent With Autograd and Backpropagation
  6. Training Pipeline: Model, Loss, and Optimizer
  7. Linear Regression
  8. Logistic Regression
  9. Dataset and DataLoader
  10. Dataset Transforms
  11. Softmax And Cross Entropy
  12. Activation Functions
  13. Feed-Forward Neural Net
  14. Convolutional Neural Net (CNN)
  15. Transfer Learning
  16. Tensorboard
  17. Save and Load Models