Neural Network Basics: From the Perceptron to Multilayer Networks
Part 1 of AI Note. Starting from a single neuron's weighted sum and activation, we follow why the perceptron cannot solve XOR and how stacking layers solves it, softmax and cross-entropy loss, and gradient descent under different learning rates, all with numeric examples worked out by hand.
Sunhong'sSystem Blog
AI Note