rdkit.ML.Neural.ActFuncs

Package rdkit :: Package ML :: Package Neural :: Module ActFuncs |
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# Module ActFuncs

source code

    Activation functions for neural network nodes

    Activation functions should implement the following API:

     - _Eval(input)_: returns the value of the function at a given point

     - _Deriv(input)_: returns the derivative of the function at a given point

    The current Backprop implementation also requires:

     - _DerivFromVal(val)_: returns the derivative of the function when its
                            value is val

    In all cases _input_ is a float as is the value returned.

Classes | [hide private]
| ActFunc "virtual base class" for activation functions
| Sigmoid the standard sigmoidal function
| TanH the standard hyperbolic tangent function

Variables | [hide private]
| __package__ = ``'``rdkit.ML.Neural``'``

Imports: math