A neural network is a machine-learning model inspired by the human brain. It is built from layers of interconnected computational nodes (often called neurons) whose connection weights are adjusted during training so the network can learn complex relationships between inputs and outputs. The other options describe a data repository, dedicated hardware, and a performance visualization-none of which capture the definition of a neural network model.
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