Package crino :: Module module :: Class Softmax

Class Softmax

A Softmax activation module computes its outputs with the non-linear softmax function, that can be defined as softmax(x) = [exp(x_i) ⁄ ∑ⁿ_i = 1exp(x_i)]ⁿ_i = 1, with x = [x₁, x₂, …, x_n] ∈ ℝⁿ.

Instance Methods

[hide private]

__init__(self, nOutputs, nInputs=None)
Constructs a new Softmax activation module.

source code

prepareOutput(self)
Computes the softmax function ŷ = [exp(x_i) ⁄ ∑ⁿ_i = 1exp(x_i)]ⁿ_i = 1

source code

Inherited from Activation: prepareParams

Inherited from Standalone: prepareGeometry

Inherited from Module: criterionFunction, forward, forwardFunction, holdFunction, linkInputs, linkModule, prepare, prepareBackup, restoreFunction, save, trainFunction

Instance Variables

[hide private]

Inherited from Module: backupParams, inputs, nInputs, nOutputs, outputs, params, prepared

Method Details

[hide private]

init(self, nOutputs, nInputs=None)
(Constructor)

source code

Constructs a new Softmax activation module.

Parameters:

nOutputs (int) - The outputs size.
nInputs (int) - The inputs size.

Overrides: Module.__init__

prepareOutput(self)

source code

Computes the softmax function ŷ = [exp(x_i) ⁄ ∑ⁿ_i = 1exp(x_i)]ⁿ_i = 1

Overrides: Module.prepareOutput

Class Softmax

__init__(self, nOutputs, nInputs=None) (Constructor)

prepareOutput(self)

init(self, nOutputs, nInputs=None)
(Constructor)