Tag: softmax activation function
Difference between Sigmoid and Softmax activation function?
Sigmoid activation function is a type of logistic activation function. It is used in the hidden layers of neural networks to transform the linear output into a nonlinear one. Softmax activation function is used in the output layer of neural networks to convert the linear output into a probabilistic one. Sigmoid activation functions are used…
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