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) -- https://mail.python.org/mailman/listinfo/python-list