What is Backpropagation?

What is Backpropagation?

Approach: Describe the chain rule application for weight updates.

The central algorithm for training neural networks. It calculates the gradient of the loss function with respect to each weight by applying the chain rule, moving backward from the output layer to the input layer.

Follow-up: What is the role of the optimizer?

Key concepts: chain rule, gradients, weights.