Neural networks consist of hidden layers that process data, reflecting the concept of connectionism.
Neural networks are layers of connections used to communicate. In a neural network, hidden layers are intermediary layers between the input and output layers where data processing occurs. This process is a fundamental concept in connectionism, which models mental phenomena as interconnected networks.
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