neon.transforms.activation.Tanh

class neon.transforms.activation.Tanh(name=None)[source]

Bases: neon.transforms.transform.Transform

Hyperbolic tangent activation function, \(f(x) = \tanh(x)\).

__init__(name=None)[source]

Class constructor.

Methods

__init__([name]) Class constructor.
bprop(x) Returns the derivative.
gen_class(pdict)
get_description([skip]) Returns a dict that contains all necessary information needed to serialize this object.
recursive_gen(pdict, key) helper method to check whether the definition
be = None
bprop(x)[source]

Returns the derivative.

Parameters:x (Tensor or optree) – Input value
Returns:Derivative, \(1-x^2\)
Return type:Tensor or optree
classnm

Returns the class name.

gen_class(pdict)
get_description(skip=[], **kwargs)

Returns a dict that contains all necessary information needed to serialize this object.

Parameters:skip (list) – Objects to omit from the dictionary.
Returns:Dictionary format for object information.
Return type:(dict)
modulenm

Returns the full module path.

recursive_gen(pdict, key)

helper method to check whether the definition dictionary is defining a NervanaObject child, if so it will instantiate that object and replace the dictionary element with an instance of that object