Artificial Neural Networks (ANNs) are computational models inspired by the human brain’s structure and function. They consist of interconnected nodes, or neurons, organized in layers, which process data similarly to how humans learn. ANNs are a key component of deep learning, enabling machines to recognize patterns and make decisions based on complex data inputs. They are widely used in various applications, including image recognition, natural language processing, and classification tasks. By adjusting the weights of connections between neurons, ANNs can learn from data, approximating non-linear functions to improve their performance over time.