What is a neural network and how does it mimic the human brain?

A neural network is a computational model inspired by the way biological neural networks in the human brain process information. It consists of layers of interconnected nodes (neurons), where each connection has an associated weight. The input data is fed into the input layer, then processed through hidden layers, where neurons apply nonlinear transformations to the data, and finally output predictions from the output layer. During training, the network learns by adjusting the weights based on the error of its predictions, using methods like backpropagation.