GLOSSARY TERM
What is Hidden Layer?
The layer of artificial neurons between input and output layers in a neural network.
Hidden layers perform non-linear transformations of the inputs. The depth and width of these layers dictate the network's capacity to learn abstract, hierarchical representations of complex data distributions.
Deep Representation Learning
Design complex hidden layer topologies seamlessly with the M1 Layer.