Neural
In the context of data science and artificial intelligence, neural refers to the use of artificial neural networks (ANNs) to simulate the behavior of the human brain in order to recognize patterns and make predictions. ANNs are composed of layers of interconnected nodes, or neurons, that 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 is adjusted through a process called training, in which the network is presented with a set of labeled examples and adjusts its parameters to minimize the difference between its predictions and the true labels. Neural networks have been successfully applied to a wide range of tasks, including image and speech recognition, natural language processing, and predictive modeling.
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