#include <SoftmaxVariable.h>
Inheritance diagram for PLearn::SoftmaxVariable:
Public Member Functions | |
SoftmaxVariable () | |
Default constructor for persistence. | |
SoftmaxVariable (Variable *input) | |
PLEARN_DECLARE_OBJECT (SoftmaxVariable) | |
virtual void | recomputeSize (int &l, int &w) const |
Recomputes the length l and width w that this variable should have, according to its parent variables. | |
virtual void | fprop () |
compute output given input | |
virtual void | bprop () |
virtual void | bbprop () |
compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ... | |
virtual void | symbolicBprop () |
compute a piece of new Var graph that represents the symbolic derivative of this Var | |
virtual void | rfprop () |
Private Types | |
typedef UnaryVariable | inherited |
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Reimplemented from PLearn::UnaryVariable. Definition at line 55 of file SoftmaxVariable.h. Referenced by SoftmaxVariable(). |
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Default constructor for persistence.
Definition at line 59 of file SoftmaxVariable.h. |
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Definition at line 55 of file SoftmaxVariable.cc. References inherited. |
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compute an approximation to diag(d^2/dinput^2) given diag(d^2/doutput^2), with diag(d^2/dinput^2) ~=~ (doutput/dinput)' diag(d^2/doutput^2) (doutput/dinput) In particular: if 'C' depends on 'y' and 'y' depends on x ... d^2C/dx^2 = d^2C/dy^2 * (dy/dx)^2 + dC/dy * d^2y/dx^2 (diaghessian) (gradient) Reimplemented from PLearn::Variable. Definition at line 90 of file SoftmaxVariable.cc. References PLERROR. |
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Implements PLearn::Variable. Definition at line 74 of file SoftmaxVariable.cc. References k, and PLearn::Variable::nelems(). |
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compute output given input
Implements PLearn::Variable. Definition at line 68 of file SoftmaxVariable.cc. References PLearn::softmax(). |
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Recomputes the length l and width w that this variable should have, according to its parent variables. This is used for ex. by sizeprop() The default version stupidly returns the current dimensions, so make sure to overload it in subclasses if this is not appropriate. Reimplemented from PLearn::Variable. Definition at line 59 of file SoftmaxVariable.cc. References PLearn::Var::length(), and PLearn::Var::width(). |
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Reimplemented from PLearn::Variable. Definition at line 103 of file SoftmaxVariable.cc. References PLearn::TVec< T >::length(), and PLearn::UnaryVariable::resizeRValue(). |
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compute a piece of new Var graph that represents the symbolic derivative of this Var
Reimplemented from PLearn::Variable. Definition at line 96 of file SoftmaxVariable.cc. References PLERROR. |