Foundations of Neural Networks

From a 1943 dinner-table conversation to the architecture powering today's AI systems — this chapter builds neural networks from first principles. We trace the 90-year history, construct the artificial neuron mathematically, and develop the multi-layer perceptron that overcomes the limits of a single neuron. Along the way we examine activation functions, the bias term, and why deep learning is a distinct discipline within machine learning.