Neural Networks: Supervised Learning and Backpropagation

This lecture covers the concepts of neural networks, supervised learning, and backpropagation. It explains the process of training neural networks using labeled data and adjusting weights to minimize errors. The instructor demonstrates how backpropagation calculates gradients to update weights and biases iteratively, improving the network's performance.