Implementation of the multiply constant layer. More...
Public Member Functions | |
MultiplyConstant (const double scalar=1.0) | |
Create the MultiplyConstant object. More... | |
template < typename DataType > | |
void | Backward (const DataType &&, DataType &&gy, 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... | |
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... | |
Implementation of the multiply constant layer.
The multiply constant layer multiplies the input by a (non-learnable) constant.
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 multiply_constant.hpp.
MultiplyConstant | ( | const double | scalar = 1.0 | ) |
Create the MultiplyConstant object.
void Backward | ( | const DataType && | , |
DataType && | gy, | ||
DataType && | g | ||
) |
Ordinary feed backward pass of a neural network.
The backward pass multiplies the error with the specified constant scalar value.
input | The propagated input activation. |
gy | The backpropagated error. |
g | The calculated gradient. |
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inline |
Get the delta.
Definition at line 69 of file multiply_constant.hpp.
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inline |
Modify the delta.
Definition at line 71 of file multiply_constant.hpp.
References MultiplyConstant< InputDataType, OutputDataType >::serialize().
void Forward | ( | const InputType && | input, |
OutputType && | output | ||
) |
Ordinary feed forward pass of a neural network.
Multiply the input with the specified constant scalar value.
input | Input data used for evaluating the specified function. |
output | Resulting output activation. |
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inline |
Get the output parameter.
Definition at line 64 of file multiply_constant.hpp.
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inline |
Modify the output parameter.
Definition at line 66 of file multiply_constant.hpp.
void serialize | ( | Archive & | ar, |
const unsigned | int | ||
) |
Serialize the layer.
Referenced by MultiplyConstant< InputDataType, OutputDataType >::Delta().