So in a forward feeding backward propagation neural network…
I have 5 input variables.
1 output variable.
How the hell do I decide how many hidden layers and perceptrons to use?
Guesswork is not going to be good enough. I need reasons.
So in a forward feeding backward propagation neural network…
I have 5 input variables.
1 output variable.
How the hell do I decide how many hidden layers and perceptrons to use?
Guesswork is not going to be good enough. I need reasons.