(2024-10-15)

In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains.[1][2] An ANN consists of connected units or nodes called artificial neurons, which loosely model the neurons in the brain. These are connected by edges, which model the synapses in the brain. Each artificial neuron receives signals from connected neurons, then processes them and sends a signal to other connected neurons. https://en.wikipedia.org/wiki/Neural_network_(machine_learning)

A neural network, also called a neuronal network, is an interconnected population of neurons (typically containing multiple neural circuits).[1] Biological neural networks are studied to understand the organization and functioning of nervous systems. https://en.wikipedia.org/wiki/Neural_network_(biology)


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