Neural Network Basics

Summary

Layers of interconnected nodes that transform inputs through weighted sums and non-linear functions to approximate complex patterns — the base unit of everything from image classifiers to LLMs.

• 1Draw a small neural network by hand and manually compute a forward pass.
• 2Learn the roles of weights, biases and layers before touching a framework.
• 3Build intuition for why depth and non-linearity let networks model complex functions.