Neural Networks: Perceptron and Backpropagation

This lecture covers the basics of neural networks, starting with the perceptron model and its learning algorithm. It then delves into the backpropagation algorithm for training multi-layer feed-forward neural networks. The instructor explains the effects of different activation functions, learning rates, and the challenges of fooling neural networks with adversarial perturbations.