Neural Networks

Computational models inspired by biological neural networks.

artificial neural networks

Neural networks are computational models inspired by the structure and function of biological neural networks. They consist of interconnected nodes (neurons) organized in layers that process and transmit information. Used extensively in machine learning, they learn from data to perform tasks like image recognition, natural language processing, and prediction.

The term is derived from the biological neural networks that constitute animal brains.

Neural networks are computer programs that learn like our brains, using connections to recognize patterns and make decisions.

artificial neural networks deep learning

machine learning artificial intelligence

convolutional neural networks recurrent neural networks

neurons layers weights

machine learning systems

functional adaptation machine learning theoretical model