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

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

BackpropagationNeuralNetwork(std::string name_="bp_net")	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
backward(mic::types::MatrixPtr< eT > gradients_)	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
calculateMeanLoss(mic::types::MatrixPtr< eT > encoded_targets_, mic::types::MatrixPtr< eT > encoded_predictions_)	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
connected	mic::mlnn::MultiLayerNeuralNetwork< eT >	protected
countCorrectPredictions(mic::types::MatrixPtr< eT > targets_, mic::types::MatrixPtr< eT > predictions_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
forward(mic::types::MatrixPtr< eT > input_data, bool skip_dropout=false)	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
getLayer(size_t index_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
getLayer(size_t index_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
getPredictions()	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
getPredictions(size_t layer_nr_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
lastLayerBatchSize(size_t layer_number_=-1)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
lastLayerOutputsSize(size_t layer_number_=-1)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
layerInputsSize(size_t layer_number_=-1)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
layers	mic::mlnn::MultiLayerNeuralNetwork< eT >	protected
load(std::string filename_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
loss	mic::mlnn::BackpropagationNeuralNetwork< eT >	protected
MultiLayerNeuralNetwork(std::string name_="mlnn")	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
name	mic::mlnn::MultiLayerNeuralNetwork< eT >	protected
popLayer(size_t number_of_layers_=1)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
pushLayer(LayerType *layer_ptr_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
resetGrads()	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
resizeBatch(size_t batch_size_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
save(std::string filename_)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
setLoss()	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
setOptimization()	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
test(mic::types::MatrixPtr< eT > encoded_batch_, mic::types::MatrixPtr< eT > encoded_targets_)	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
train(mic::types::MatrixPtr< eT > encoded_batch_, mic::types::MatrixPtr< eT > encoded_targets_, eT learning_rate_, eT decay_=0.0f)	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
update(eT alpha_, eT decay_=0.0f)	mic::mlnn::MultiLayerNeuralNetwork< eT >	inline
verify()	mic::mlnn::BackpropagationNeuralNetwork< eT >	inline
~BackpropagationNeuralNetwork()	mic::mlnn::BackpropagationNeuralNetwork< eT >	inlinevirtual
~MultiLayerNeuralNetwork()	mic::mlnn::MultiLayerNeuralNetwork< eT >	inlinevirtual