Neural Networks: Training and Activation

This lecture covers the basics of neural networks, including the role of input and the structure of hidden layers. It also delves into activation functions, backpropagation, and the implementation of a simple neural network in PyTorch. The instructor demonstrates the computation process and provides resources for further exploration.