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.