Neural networks, also known as artificial neural networks (ANNs), are a computational approach inspired by the structure and function of biological neural networks. They consist of interconnected nodes ('neurons') organized in layers. These networks learn from data by adjusting the connections (weights) between neurons. They are commonly used for pattern recognition, classification, regression, and other machine learning tasks in areas like image and speech recognition, natural language processing, and predictive modeling.
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