How do neural networks perform classification?

Neural networks classify data by learning hierarchical feature representations through layered transformations.

Neural networks consist of input, hidden, and output layers. Each layer applies linear transformations followed by nonlinear activations. For classification, the output layer uses sigmoid (binary) or softmax (multiclass). Backpropagation adjusts weights using gradient descent.