Artificial Neural Network (ANN)

An ANN consists of layers of interconnected nodes, or neurons, that process and transform input data. Most neural networks include an input layer, one or more hidden layers, and an output layer. During training, the network adjusts the weights between neurons based on prediction errors, allowing it to gradually learn patterns and improve its predictions.

Artificial neural networks can learn complex relationships that traditional algorithms may struggle to capture. They form the foundation of deep learning and enable AI systems to process large amounts of complex data, including images, text, audio, and numerical information.