by Michele Laurelli
Basic computational unit in neural networks that receives inputs, applies weights and activation, produces output.
Inspired by biological neurons. Computes weighted sum of inputs plus bias, then applies activation function. Building block of neural networks.
Single neuron in hidden layer
Output neuron
Perceptron
A computational model inspired by biological neural networks, consisting of interconnected nodes (neurons) that process information.
A mathematical function applied to a neuron's output to introduce non-linearity into the network.
Simplest neural network with single layer, binary classifier invented in 1950s.