A neural network is a computational model inspired by the structure and functions of biological neural networks, used for tasks such as predictive modeling, adaptive control, and solving problems in artificial intelligence. It consists of connected units or nodes called artificial neurons, which process and send signals to other connected neurons. Neural networks can learn from experience and derive conclusions from complex and unrelated sets of information.
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