Implementation of the Lookup class. More...
Public Member Functions | |
Lookup (const size_t inSize=0, const size_t outSize=0) | |
Create the Lookup object using the specified number of input and output units. More... | |
template < typename eT > | |
void | Backward (const arma::Mat< eT > &&, const arma::Mat< eT > &&gy, arma::Mat< eT > &&g) |
Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f. More... | |
OutputDataType const & | Delta () const |
Get the delta. More... | |
OutputDataType & | Delta () |
Modify the delta. More... | |
template < typename eT > | |
void | Forward (const arma::Mat< eT > &&input, arma::Mat< eT > &&output) |
Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f. More... | |
template < typename eT > | |
void | Gradient (const arma::Mat< eT > &&input, arma::Mat< eT > &&error, arma::Mat< eT > &&gradient) |
OutputDataType const & | Gradient () const |
Get the gradient. More... | |
OutputDataType & | Gradient () |
Modify the gradient. More... | |
OutputDataType const & | OutputParameter () const |
Get the output parameter. More... | |
OutputDataType & | OutputParameter () |
Modify the output parameter. More... | |
OutputDataType const & | Parameters () const |
Get the parameters. More... | |
OutputDataType & | Parameters () |
Modify the parameters. More... | |
template < typename Archive > | |
void | serialize (Archive &ar, const unsigned int) |
Serialize the layer. More... | |
Implementation of the Lookup class.
The Lookup class is a particular convolution, where the width of the convolution is 1.
InputDataType | Type of the input data (arma::colvec, arma::mat, arma::sp_mat or arma::cube). |
OutputDataType | Type of the output data (arma::colvec, arma::mat, arma::sp_mat or arma::cube). |
Definition at line 35 of file lookup.hpp.
Lookup | ( | const size_t | inSize = 0 , |
const size_t | outSize = 0 |
||
) |
Create the Lookup object using the specified number of input and output units.
inSize | The number of input units. |
outSize | The number of output units. |
void Backward | ( | const arma::Mat< eT > && | , |
const arma::Mat< eT > && | gy, | ||
arma::Mat< eT > && | g | ||
) |
Ordinary feed backward pass of a neural network, calculating the function f(x) by propagating x backwards trough f.
Using the results from the feed forward pass.
input | The propagated input activation. |
gy | The backpropagated error. |
g | The calculated gradient. |
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inline |
Get the delta.
Definition at line 94 of file lookup.hpp.
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inline |
Modify the delta.
Definition at line 96 of file lookup.hpp.
void Forward | ( | const arma::Mat< eT > && | input, |
arma::Mat< eT > && | output | ||
) |
Ordinary feed forward pass of a neural network, evaluating the function f(x) by propagating the activity forward through f.
input | Input data used for evaluating the specified function. |
output | Resulting output activation. |
void Gradient | ( | const arma::Mat< eT > && | input, |
arma::Mat< eT > && | error, | ||
arma::Mat< eT > && | gradient | ||
) |
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inline |
Get the gradient.
Definition at line 99 of file lookup.hpp.
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inline |
Modify the gradient.
Definition at line 101 of file lookup.hpp.
References Lookup< InputDataType, OutputDataType >::serialize().
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inline |
Get the output parameter.
Definition at line 89 of file lookup.hpp.
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inline |
Modify the output parameter.
Definition at line 91 of file lookup.hpp.
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inline |
Get the parameters.
Definition at line 84 of file lookup.hpp.
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inline |
Modify the parameters.
Definition at line 86 of file lookup.hpp.
void serialize | ( | Archive & | ar, |
const unsigned | int | ||
) |
Serialize the layer.
Referenced by Lookup< InputDataType, OutputDataType >::Gradient().