On 6/26/2018 11:26 PM, Sharan Basappa wrote:
Folks,I know this is not a machine learning forum but I wanted to see if anyone can explain this to me. In artificial neural network, I can understand why sigmoid is used but I see that derivative of sigmoid output function is used. I am not able to understand why. For example: # convert output of sigmoid function to its derivative def sigmoid_output_to_derivative(output): return output*(1-output)
Derivatives are used for backpropagation* of errors for adjusting weights. The convenient form of sigmoid derivative is a reason to use sigmoids as transfer functions.
* You can look backpropagation as a method of training. -- Terry Jan Reedy -- https://mail.python.org/mailman/listinfo/python-list
