Because the output of sigmoid is in range (0, 1), which can be regarded as a probability output that can be easily converted to class values. 

University of Michigan - Ann Arbor

- tanh works almost always better than Sigmoid function, but Sigmoid should be used for the output layer of binary classification models.
- tanh is in range (-1, 1), but Sigmoid is in range (0, 1).
- Using tanh activation functions in the hidden layers optimizes training because it centers the data around 0 rather tahn 0.5

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