Neurons
In the context of data science and artificial intelligence, neurons refer to the basic building blocks of artificial neural networks, which are computational models inspired by the structure and function of the human brain. Neurons receive input signals from other neurons or from external sources, and process this information using an activation function to produce an output signal, which is then passed on to other neurons. The strength of the connections between neurons, known as weights, is adjusted during the training process to optimize the network's ability to perform a specific task, such as image recognition or natural language processing. Neurons can be organized into layers, with each layer performing a specific type of computation, such as feature extraction or classification.
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