Artifical Neural Networks

Artificial Neural Networks (ANNs) are computational models inspired by the human brain's interconnected neuron structure. They consist of layers of nodes (or "neurons") that process data by passing signals through connections, adjusting their strength based on learning. This process allows ANNs to recognize patterns, such as distinguishing images or understanding language, by learning from large amounts of data. Think of it as a system that improves its performance over time, mimicking how humans learn from experience to make predictions or decisions. ANNs are fundamental to many AI applications like speech recognition, image analysis, and autonomous systems.