Which Loss function is correct for binary mapping? I have built a 3 layer neural network to perform a binary mapping (2016 inputs, 288 outputs.) I am getting decent results with mean square error and stochastic gradient decent. My question is: Is there a more appropriate loss function for regression when the output is binary?
Yes, use binary cross-entropy loss. In case you are using Keras, this has been already implemented as a standard loss function for binary outputs.