In the given problem having 8 inputs with 5 hidden layers and 3 output layers and bias
(b1) on hidden layers and bias
(b2) on output layer and i have to calculate the no of possible iterations using Back-Propagation algorithm. As this is multi layer network for artificial neural network and solve the non-linear problems.
I am confused in calculating the derivative for the bias
(b) and also in the total no of possible iterations for weight update. Please if anyone can help me out. Thanks in advance.