Neural Network
A foundational machine learning architecture inspired by biological brains, composed of interconnected layers of artificial neurons that process complex data.
Think of It Like This
Like a massive committee of advisors where each person listens to colleagues, applies a rule, and passes their opinion up the chain.
Neural networks consist of an input layer, hidden layers, and an output layer. They learn to map inputs to outputs by adjusting the weights of their connections using backpropagation and gradient descent. They are universal approximators, capable of modeling incredibly complex non-linear relationships in image, text, and tabular data.