What is Tanh activation function?

The Tanh activation function is a hyperbolic tangent sigmoid function that has a range of -1 to 1. It is often used in deep learning models for its ability to model nonlinear boundaries.

The tanh function is popular for its simplicity and the fact that it does not saturate for small inputs like sigmoid does, meaning that it can be applied at different scales without losing its effectivity.

It is less computationally intensive than sigmoid or hyperbolic tangent and has a similar effect on the output.

We use tanh function mainly for classification between two classes.

tanh and logistic sigmoid both activation functions are used in feed-forward network.

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