DIGIT RECOGNITION MODEL USING NEURAL NETWORKS A COMPARISON BETWEEN SIGMOID AND SOFTMAX AS NON-LINEAR ACTIVATION FUNCTIONS

Abstract

This is a comparison between two different digit recognition models, with being almost similar in structure except the last layer of the multi-layered neural network. One model has the Sigmoid function while the other model has the SoftMax function as the last non-linear activation function.