Overview#

Hidden layer used in Artificial Neural networks contains one Hidden node for each case in the training dataset.

Hidden layer stores the values of the predictor variables for the case along with the target value.

Hidden layers are associated with parameters conveyed in vectors or matrices:

• weights (Normally a Matrix)
• bias (Normally a Vector)

More Information#

There might be more information for this subject on one of the following:

• Activation Function
• Artificial Neural network
• Deep Neural networks
• Feedforward Neural network
• Input layer
• Perceptron
• Probabilistic Neural Network
• Underfitting