A neural network is a type of machine learning algorithm modeled after the structure and function of the human brain. It consists of a series of interconnected nodes or neurons that work together to analyze and classify data, and to make predictions or decisions based on that data. The network learns and adapts as it receives more data, improving its accuracy and ability to handle increasingly complex tasks. Neural networks have proven useful in a wide range of applications, including image and speech recognition, natural language processing, and autonomous vehicles.
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