by Michele Laurelli
Simplest neural network with single layer, binary classifier invented in 1950s.
Single neuron with weights, bias, and activation. Foundation of modern neural networks. Can only learn linearly separable patterns.
Binary AND gate
Simple linear classifier
Historical neural network