How do a handful of simple mathematical ingredients build the AI systems running today? This walk-through of neural networks and backpropagation unpacks multilayer perceptrons, activation functions like ReLU and GELU, and the vanishing gradient problem. It focuses on the real gap between what theory guarantees exists and the engineering that actually makes deep networks trainable.

This episode was generated by AI from the cited research paper.