Artificial Neural Network
An Artificial Neural Network (ANN) is a computational model inspired by the structure and function of the human brain. It consists of a large number of interconnected processing nodes, called neurons, which work together to learn and recognize patterns in data. ANNs are trained using a supervised learning approach, where the network is presented with a set of input-output pairs and adjusts its weights and biases to minimize the difference between the predicted and actual outputs. Once trained, ANNs can be used for a variety of tasks, such as classification, regression, and clustering. They have been successfully applied in many fields, including image and speech recognition, natural language processing, and autonomous vehicles.
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