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Artificial Neural Networks (ANNs) are a set of algorithms modeled after the structure and function of the human brain. ANNs are used to recognize patterns and relationships in data, and can be trained to make predictions or classifications based on that data. ANNs consist of layers of interconnected nodes, or neurons, which process and transmit information. Each neuron receives input from other neurons, processes that input, and then sends output to other neurons. The strength of the connections between neurons, or weights, is adjusted during training to optimize the network's performance. ANNs are used in a variety of applications, including image and speech recognition, natural language processing, and predictive analytics.


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