What are 'hidden layers' in a neural network, and what happens inside them?
Reviewed by Jason Burns, Editorial Steward · Last updated
Hidden layers are the intermediate layers of a neural network between the input and output; each hidden layer applies a linear transformation followed by a non-linear activation, learning progressively more abstract features of the input.