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mlpack
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Implementation of the Sequential class. More...
Public Member Functions | |
| Sequential (const bool model=true) | |
| Create the Sequential object using the specified parameters. More... | |
| ~Sequential () | |
| Destroy the Sequential object. More... | |
| template<class LayerType , class... Args> | |
| void | Add (Args...args) |
| void | Add (LayerTypes layer) |
| template<typename eT > | |
| void | Backward (const arma::Mat< eT > &&, arma::Mat< eT > &&gy, arma::Mat< eT > &&g) |
| Ordinary feed backward pass of a neural network, using 3rd-order tensors as input, calculating the function f(x) by propagating x backwards through f. More... | |
| arma::mat const & | Delta () const |
| Get the delta.e. More... | |
| arma::mat & | Delta () |
| Modify the delta. More... | |
| template<typename eT > | |
| void | Forward (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 (arma::Mat< eT > &&input, arma::Mat< eT > &&error, arma::Mat< eT > &&) |
| arma::mat const & | Gradient () const |
| Get the gradient. More... | |
| arma::mat & | Gradient () |
| Modify the gradient. More... | |
| arma::mat const & | InputParameter () const |
| arma::mat & | InputParameter () |
| Modify the input parameter. More... | |
| std::vector< LayerTypes > & | Model () |
| Return the model modules. More... | |
| arma::mat const & | OutputParameter () const |
| Get the output parameter. More... | |
| arma::mat & | OutputParameter () |
| Modify the output parameter. More... | |
| const arma::mat & | Parameters () const |
| Return the initial point for the optimization. More... | |
| arma::mat & | Parameters () |
| Modify the initial point for the optimization. More... | |
| template<typename Archive > | |
| void | Serialize (Archive &, const unsigned int) |
| Serialize the layer. More... | |
Private Attributes | |
| DeleteVisitor | deleteVisitor |
| Locally-stored delete visitor. More... | |
| arma::mat | delta |
| Locally-stored delta object. More... | |
| DeltaVisitor | deltaVisitor |
| Locally-stored delta visitor. More... | |
| std::vector< LayerTypes > | empty |
| Locally-stored empty list of modules. More... | |
| arma::mat | gradient |
| Locally-stored gradient object. More... | |
| size_t | height |
| The input height. More... | |
| arma::mat | inputParameter |
| Locally-stored input parameter object. More... | |
| bool | model |
| Parameter which indicates if the modules should be exposed. More... | |
| std::vector< LayerTypes > | network |
| Locally-stored network modules. More... | |
| OutputHeightVisitor | outputHeightVisitor |
| Locally-stored output height visitor. More... | |
| arma::mat | outputParameter |
| Locally-stored output parameter object. More... | |
| OutputParameterVisitor | outputParameterVisitor |
| Locally-stored output parameter visitor. More... | |
| OutputWidthVisitor | outputWidthVisitor |
| Locally-stored output width visitor. More... | |
| arma::mat | parameters |
| Locally-stored model parameters. More... | |
| bool | reset |
| Indicator if we already initialized the model. More... | |
| size_t | width |
| The input width. More... | |
Implementation of the Sequential class.
The sequential class works as a feed-forward fully connected network container which plugs various layers together.
| 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 53 of file layer_types.hpp.
| mlpack::ann::Sequential< InputDataType, OutputDataType >::Sequential | ( | const bool | model = true | ) |
Create the Sequential object using the specified parameters.
| model | Expose the all network modules. |
| mlpack::ann::Sequential< InputDataType, OutputDataType >::~Sequential | ( | ) |
Destroy the Sequential object.
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Definition at line 102 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::network.
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Definition at line 109 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::network.
| void mlpack::ann::Sequential< InputDataType, OutputDataType >::Backward | ( | const arma::Mat< eT > && | , |
| arma::Mat< eT > && | gy, | ||
| arma::Mat< eT > && | g | ||
| ) |
Ordinary feed backward pass of a neural network, using 3rd-order tensors as input, calculating the function f(x) by propagating x backwards through 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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Get the delta.e.
Definition at line 137 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::delta.
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Modify the delta.
Definition at line 139 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::delta.
| void mlpack::ann::Sequential< InputDataType, OutputDataType >::Forward | ( | 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 mlpack::ann::Sequential< InputDataType, OutputDataType >::Gradient | ( | arma::Mat< eT > && | input, |
| arma::Mat< eT > && | error, | ||
| arma::Mat< eT > && | |||
| ) |
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Get the gradient.
Definition at line 142 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::gradient.
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Modify the gradient.
Definition at line 144 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::gradient, and mlpack::ann::Sequential< InputDataType, OutputDataType >::Serialize().
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Definition at line 127 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::inputParameter.
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Modify the input parameter.
Definition at line 129 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::inputParameter.
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Return the model modules.
Definition at line 112 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::empty, mlpack::ann::Sequential< InputDataType, OutputDataType >::model, and mlpack::ann::Sequential< InputDataType, OutputDataType >::network.
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Get the output parameter.
Definition at line 132 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::outputParameter.
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Modify the output parameter.
Definition at line 134 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::outputParameter.
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Return the initial point for the optimization.
Definition at line 123 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::parameters.
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Modify the initial point for the optimization.
Definition at line 125 of file sequential.hpp.
References mlpack::ann::Sequential< InputDataType, OutputDataType >::parameters.
| void mlpack::ann::Sequential< InputDataType, OutputDataType >::Serialize | ( | Archive & | , |
| const unsigned | int | ||
| ) |
Serialize the layer.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Gradient().
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Locally-stored delete visitor.
Definition at line 172 of file sequential.hpp.
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Locally-stored delta object.
Definition at line 178 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Delta().
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Locally-stored delta visitor.
Definition at line 166 of file sequential.hpp.
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Locally-stored empty list of modules.
Definition at line 175 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Model().
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Locally-stored gradient object.
Definition at line 187 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Gradient().
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The input height.
Definition at line 199 of file sequential.hpp.
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Locally-stored input parameter object.
Definition at line 181 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::InputParameter().
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Parameter which indicates if the modules should be exposed.
Definition at line 154 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Model().
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Locally-stored network modules.
Definition at line 160 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Add(), and mlpack::ann::Sequential< InputDataType, OutputDataType >::Model().
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Locally-stored output height visitor.
Definition at line 193 of file sequential.hpp.
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Locally-stored output parameter object.
Definition at line 184 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::OutputParameter().
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Locally-stored output parameter visitor.
Definition at line 169 of file sequential.hpp.
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Locally-stored output width visitor.
Definition at line 190 of file sequential.hpp.
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Locally-stored model parameters.
Definition at line 163 of file sequential.hpp.
Referenced by mlpack::ann::Sequential< InputDataType, OutputDataType >::Parameters().
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Indicator if we already initialized the model.
Definition at line 157 of file sequential.hpp.
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The input width.
Definition at line 196 of file sequential.hpp.
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