PyTorch Basics

Summary

The dominant deep learning framework in research and increasingly in production — tensors, autograd, `nn.Module` and the training loop pattern you'll use for almost every DL project.

How to Learn This

1Work through PyTorch's official 60-minute blitz tutorial.
2Build and train a small feedforward network from scratch with `nn.Module`.
3Learn to move tensors and models between CPU and GPU correctly.

Gradient Descent Variants (SGD, Adam)

TensorFlow/Keras Basics

More topics in Deep Learning Foundations

Neural Network Basics Perceptrons Activation Functions Forward & Backward Propagation Loss Functions Gradient Descent Variants (SGD, Adam)TensorFlow/Keras Basics Batch Normalization Dropout & Regularization in DL GPUs & CUDA Basics

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