Deep Learning Building Blocks: Linear Layers

This lecture covers the fundamental building blocks of deep learning, focusing on linear layers. It explains the mathematical operations involved in linear layers, the concept of multi-layer perceptrons, and the implementation in PyTorch. The lecture also discusses the importance of activation functions in deep neural networks.