mic::mlnn::Layer< eT > Member List

This is the complete list of members for mic::mlnn::Layer< eT >, including all inherited members.

BackpropagationNeuralNetwork class	mic::mlnn::Layer< eT >	friend
backward()=0	mic::mlnn::Layer< eT >	pure virtual
backward(mic::types::MatrixPtr< eT > dy_)	mic::mlnn::Layer< eT >	inline
batch_size	mic::mlnn::Layer< eT >	protected
batchSize()	mic::mlnn::Layer< eT >	inline
boost::serialization::access class	mic::mlnn::Layer< eT >	friend
calculateNumericalGradient(mic::types::MatrixPtr< eT > x_, mic::types::MatrixPtr< eT > target_y_, mic::types::MatrixPtr< eT > param_, loss loss_, eT delta_)	mic::mlnn::Layer< eT >	inline
dx_activations	mic::mlnn::Layer< eT >	protected
dy_activations	mic::mlnn::Layer< eT >	protected
forward(bool test=false)=0	mic::mlnn::Layer< eT >	pure virtual
forward(mic::types::MatrixPtr< eT > x_, bool test=false)	mic::mlnn::Layer< eT >	inline
g	mic::mlnn::Layer< eT >	protected
getGradient(std::string name_)	mic::mlnn::Layer< eT >	inline
getInputActivations()	mic::mlnn::Layer< eT >	inlinevirtual
getInputGradientActivations()	mic::mlnn::Layer< eT >	inlinevirtual
getOutputActivations()	mic::mlnn::Layer< eT >	inlinevirtual
getOutputGradientActivations()	mic::mlnn::Layer< eT >	inlinevirtual
getParam(std::string name_)	mic::mlnn::Layer< eT >	inline
getState(std::string name_)	mic::mlnn::Layer< eT >	inline
HebbianNeuralNetwork class	mic::mlnn::Layer< eT >	friend
input_depth	mic::mlnn::Layer< eT >	protected
input_height	mic::mlnn::Layer< eT >	protected
input_width	mic::mlnn::Layer< eT >	protected
inputSize()	mic::mlnn::Layer< eT >	inline
Layer(size_t input_height_, size_t input_width_, size_t input_depth_, size_t output_height_, size_t output_width_, size_t output_depth_, LayerTypes layer_type_, std::string name_="layer")	mic::mlnn::Layer< eT >	inline
Layer()	mic::mlnn::Layer< eT >	inlineprotected
layer_name	mic::mlnn::Layer< eT >	protected
layer_type	mic::mlnn::Layer< eT >	protected
lazyAllocateMatrixVector(std::vector< std::shared_ptr< mic::types::Matrix< eT > > > &vector_, size_t vector_size_, size_t matrix_height_, size_t matrix_width_)	mic::mlnn::Layer< eT >	inline
lazyReturnChannelFromSample(mic::types::MatrixPtr< eT > sample_ptr_, mic::types::MatrixArray< eT > &array_, std::string id_, size_t sample_number_, size_t channel_number_, size_t height_, size_t width_)	mic::mlnn::Layer< eT >	inline
lazyReturnInputChannel(mic::types::MatrixPtr< eT > sample_ptr_, size_t sample_number_, size_t channel_number_)	mic::mlnn::Layer< eT >	inline
lazyReturnInputSample(mic::types::MatrixPtr< eT > batch_ptr_, size_t sample_number_)	mic::mlnn::Layer< eT >	inline
lazyReturnOutputChannel(mic::types::MatrixPtr< eT > sample_ptr_, size_t sample_number_, size_t channel_number_)	mic::mlnn::Layer< eT >	inline
lazyReturnOutputSample(mic::types::MatrixPtr< eT > batch_ptr_, size_t sample_number_)	mic::mlnn::Layer< eT >	inline
lazyReturnSampleFromBatch(mic::types::MatrixPtr< eT > batch_ptr_, mic::types::MatrixArray< eT > &array_, std::string id_, size_t sample_number_, size_t sample_size_)	mic::mlnn::Layer< eT >	inline
m	mic::mlnn::Layer< eT >	protected
MultiLayerNeuralNetwork class	mic::mlnn::Layer< eT >	friend
name() const	mic::mlnn::Layer< eT >	inline
operator<<(std::ostream &os_, Layer &obj_)	mic::mlnn::Layer< eT >	friend
opt	mic::mlnn::Layer< eT >	protected
output_depth	mic::mlnn::Layer< eT >	protected
output_height	mic::mlnn::Layer< eT >	protected
output_width	mic::mlnn::Layer< eT >	protected
outputSize()	mic::mlnn::Layer< eT >	inline
p	mic::mlnn::Layer< eT >	protected
resetGrads()	mic::mlnn::Layer< eT >	inlinevirtual
resizeBatch(size_t batch_size_)	mic::mlnn::Layer< eT >	inlinevirtual
s	mic::mlnn::Layer< eT >	protected
serialize(Archive &ar, const unsigned int version)	mic::mlnn::Layer< eT >	inlineprivate
setOptimization()	mic::mlnn::Layer< eT >	inline
setState(std::string name_, mic::types::MatrixPtr< eT > mat_ptr_)	mic::mlnn::Layer< eT >	inline
streamLayerParameters()	mic::mlnn::Layer< eT >	inlinevirtual
type() const	mic::mlnn::Layer< eT >	inline
update(eT alpha_, eT decay_=0.0f)=0	mic::mlnn::Layer< eT >	pure virtual
x_activations	mic::mlnn::Layer< eT >	protected
y_activations	mic::mlnn::Layer< eT >	protected
~Layer()	mic::mlnn::Layer< eT >	inlinevirtual