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mlpack
master
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Implementation of the constant layer. More...
Public Member Functions | |
| Constant (const size_t outSize, const double scalar) | |
| Create the Constant object that outputs a given constant scalar value given any input value. More... | |
| template<typename DataType > | |
| void | Backward (const DataType &&, DataType &&, DataType &&g) |
| Ordinary feed backward pass of a neural network. More... | |
| OutputDataType & | Delta () const |
| Get the delta. More... | |
| OutputDataType & | Delta () |
| Modify the delta. More... | |
| template<typename InputType , typename OutputType > | |
| void | Forward (const InputType &&input, OutputType &&output) |
| Ordinary feed forward pass of a neural network. More... | |
| InputDataType & | InputParameter () const |
| Get the input parameter. More... | |
| InputDataType & | InputParameter () |
| Modify the input parameter. More... | |
| OutputDataType & | OutputParameter () const |
| Get the output parameter. More... | |
| OutputDataType & | OutputParameter () |
| Modify the output parameter. More... | |
| template<typename Archive > | |
| void | Serialize (Archive &ar, const unsigned int) |
| Serialize the layer. More... | |
Private Attributes | |
| OutputDataType | constantOutput |
| Locally-stored constant output matrix. More... | |
| OutputDataType | delta |
| Locally-stored delta object. More... | |
| InputDataType | inputParameter |
| Locally-stored input parameter object. More... | |
| size_t | inSize |
| Locally-stored number of input units. More... | |
| OutputDataType | outputParameter |
| Locally-stored output parameter object. More... | |
| size_t | outSize |
| Locally-stored number of output units. More... | |
Implementation of the constant layer.
The constant layer outputs a given constant value given any input value.
| 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 34 of file constant.hpp.
| mlpack::ann::Constant< InputDataType, OutputDataType >::Constant | ( | const size_t | outSize, |
| const double | scalar | ||
| ) |
Create the Constant object that outputs a given constant scalar value given any input value.
| outSize | The number of output units. |
| scalar | The constant value used to create the constant output. |
| void mlpack::ann::Constant< InputDataType, OutputDataType >::Backward | ( | const DataType && | , |
| DataType && | , | ||
| DataType && | g | ||
| ) |
Ordinary feed backward pass of a neural network.
The backward pass of the constant layer is returns always a zero output error matrix.
| input | The propagated input activation. |
| gy | The backpropagated error. |
| g | The calculated gradient. |
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Get the delta.
Definition at line 80 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::delta.
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inline |
Modify the delta.
Definition at line 82 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::delta, and mlpack::ann::Constant< InputDataType, OutputDataType >::Serialize().
| void mlpack::ann::Constant< InputDataType, OutputDataType >::Forward | ( | const InputType && | input, |
| OutputType && | output | ||
| ) |
Ordinary feed forward pass of a neural network.
The forward pass fills the output with the specified constant parameter.
| input | Input data used for evaluating the specified function. |
| output | Resulting output activation. |
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inline |
Get the input parameter.
Definition at line 70 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::inputParameter.
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inline |
Modify the input parameter.
Definition at line 72 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::inputParameter.
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inline |
Get the output parameter.
Definition at line 75 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::outputParameter.
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inline |
Modify the output parameter.
Definition at line 77 of file constant.hpp.
References mlpack::ann::Constant< InputDataType, OutputDataType >::outputParameter.
| void mlpack::ann::Constant< InputDataType, OutputDataType >::Serialize | ( | Archive & | ar, |
| const unsigned | int | ||
| ) |
Serialize the layer.
Referenced by mlpack::ann::Constant< InputDataType, OutputDataType >::Delta().
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private |
Locally-stored constant output matrix.
Definition at line 98 of file constant.hpp.
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Locally-stored delta object.
Definition at line 101 of file constant.hpp.
Referenced by mlpack::ann::Constant< InputDataType, OutputDataType >::Delta().
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Locally-stored input parameter object.
Definition at line 104 of file constant.hpp.
Referenced by mlpack::ann::Constant< InputDataType, OutputDataType >::InputParameter().
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Locally-stored number of input units.
Definition at line 92 of file constant.hpp.
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private |
Locally-stored output parameter object.
Definition at line 107 of file constant.hpp.
Referenced by mlpack::ann::Constant< InputDataType, OutputDataType >::OutputParameter().
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Locally-stored number of output units.
Definition at line 95 of file constant.hpp.
1.8.11