Closed ryzenX closed 6 years ago
Yes. However, you cannot use an activation function that squashes the output signal to the interval [0,1] in the output layer like eg. the sigmoidal activation function does.
Maybe the ReLU activation function will work for your application.
Hello, it's possible to use your neural network for addition of integer/float with result > 1 ? like this :
when i search 1+3:
neural_network.forward_pass(array([1,3]))
i have in output 0.99, what do I have to change in the code to do that?