[mlpack-git] [mlpack] Add hard tanh layer (#540)

[Marcus Edel]

You can directly implement the ```HardTanhLayer```. The extra activation functions (e.g. the ```tanh``` function) are supposed to be used in combination with the ```BaseLayer```. The ```BaseLayer``` only works with activation functions that can be called without any additional parameters like the sigmoid or the ```tanh``` function. Since the ```HardTanhLayer``` should allow the specification of the min and max value as additional parameter you can't use the ```BaseLayer```. The ```HardTanhLayer``` should have the same functions as ```SoftmaxLayer```.



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https://github.com/mlpack/mlpack/issues/540#issuecomment-191285253
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