Neural networks are the backbone of modern deep learning. Inspired by the human brain, they consist of layers of interconnected nodes that learn patterns from data.
A typical neural network has an input layer, one or more hidden layers, and an output layer. Each connection has a weight that adjusts during training via backpropagation.
From image recognition to natural language processing, neural networks have transformed what machines can do — and we are only at the beginning.