I am building a neural network. Each perceptron in the network uses a sigmoid activation function.
Must I normalize my inputs (which currently range form 0 to 1200)? I ask this because the sigmoid function approaches 1 as the input to it approaches infinity. Hence, if my input is not between 0 and 1, I'm afraid that the sigmoid will always return 1.