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I need reliable substitute for sigmoid activation function. The problem with sigmoid function is that formatted output is between 0 and 1. I need activation function with output between 0 and 255. I’m training NN with backpropagation algorithm. If I will be using some other a function do I need to tweak learning algorithm ?
The most simple solution for you problem is to scale your data. Divide the outputs of your training set by 255 during training and when you are using your trained model you have to multiply the output of your neural network by 255. This way you don’t have to change the gradient calculation.