Neural Networks Training: SGD and Backpropagation

This lecture covers the concepts of neural networks training, stochastic gradient descent (SGD), and backpropagation. The instructor explains the importance of non-linear transformations in the initial layers to represent complex functions. The lecture also delves into the computation of gradients and the reuse of intermediate results in the training process.