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DIGIT RECOGNITION MODEL USING NEURAL NETWORKS A COMPARISON BETWEEN SIGMOID AND SOFTMAX AS NON-LINEAR ACTIVATION FUNCTIONS
2021Vol. 6(8), pp. 92–96
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.
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