Introduction to PyTorch

#Learning Objectives

• Build and train neural networks using PyTorch's nn.Module, nn.Sequential, and autograd
• Use PyTorch tensors, GPU acceleration, and the standard training loop (zero_grad, forward, loss, backward, step)
• Convert your from-scratch mini framework components to their PyTorch equivalents
• Profile and compare training speed between your pure-Python framework and PyTorch on the same task