there are really two decisions that must be made regarding these hidden layers: how many hidden layers to actually have in the neural network and how many neurons will be in each of these layers. We will first
if you choose 2:10:10:3, you will have a network that looks like the following image. This network has two hidden layers, with 10 neurons each.
The neural network above has three neurons in the input layer, and two neurons in the output layer. The number of neurons in the input and output layers do not change. As a result, the number of elements in the input and output patterns, for a particular neural network, can never change...