| autoencoder_position | CNeuralLayer | |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| clone() | CSGObject | virtual |
| CNeuralConvolutionalLayer() | CNeuralConvolutionalLayer | |
| CNeuralConvolutionalLayer(EConvMapActivationFunction function, int32_t num_maps, int32_t radius_x, int32_t radius_y, int32_t pooling_width=1, int32_t pooling_height=1, int32_t stride_x=1, int32_t stride_y=1, EInitializationMode initialization_mode=NORMAL) | CNeuralConvolutionalLayer | |
| CNeuralLayer() | CNeuralLayer | |
| CNeuralLayer(int32_t num_neurons) | CNeuralLayer | |
| compute_activations(SGVector< float64_t > parameters, CDynamicObjectArray *layers) | CNeuralConvolutionalLayer | virtual |
| shogun::CNeuralLayer::compute_activations(SGMatrix< float64_t > inputs) | CNeuralLayer | virtual |
| compute_contraction_term(SGVector< float64_t > parameters) | CNeuralLayer | virtual |
| compute_error(SGMatrix< float64_t > targets) | CNeuralConvolutionalLayer | virtual |
| compute_gradients(SGVector< float64_t > parameters, SGMatrix< float64_t > targets, CDynamicObjectArray *layers, SGVector< float64_t > parameter_gradients) | CNeuralConvolutionalLayer | virtual |
| contraction_coefficient | CNeuralLayer | |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| deep_copy() const | CSGObject | virtual |
| dropout_activations() | CNeuralLayer | virtual |
| dropout_prop | CNeuralLayer | |
| enforce_max_norm(SGVector< float64_t > parameters, float64_t max_norm) | CNeuralConvolutionalLayer | virtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| get_activation_gradients() | CNeuralLayer | virtual |
| get_activations() | CNeuralLayer | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| get_height() | CNeuralLayer | virtual |
| get_input_indices() | CNeuralLayer | virtual |
| get_local_gradients() | CNeuralLayer | virtual |
| get_modelsel_names() | CSGObject | |
| get_modsel_param_descr(const char *param_name) | CSGObject | |
| get_modsel_param_index(const char *param_name) | CSGObject | |
| get_name() const | CNeuralConvolutionalLayer | virtual |
| get_num_neurons() | CNeuralLayer | virtual |
| get_num_parameters() | CNeuralLayer | virtual |
| get_width() | CNeuralLayer | virtual |
| initialize_neural_layer(CDynamicObjectArray *layers, SGVector< int32_t > input_indices) | CNeuralConvolutionalLayer | virtual |
| initialize_parameters(SGVector< float64_t > parameters, SGVector< bool > parameter_regularizable, float64_t sigma) | CNeuralConvolutionalLayer | virtual |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| is_input() | CNeuralLayer | virtual |
| is_training | CNeuralLayer | |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_activation_function | CNeuralConvolutionalLayer | protected |
| m_activation_gradients | CNeuralLayer | protected |
| m_activations | CNeuralLayer | protected |
| m_batch_size | CNeuralLayer | protected |
| m_convolution_output | CNeuralConvolutionalLayer | protected |
| m_convolution_output_gradients | CNeuralConvolutionalLayer | protected |
| m_dropout_mask | CNeuralLayer | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_height | CNeuralLayer | protected |
| m_initialization_mode | CNeuralConvolutionalLayer | protected |
| m_input_height | CNeuralConvolutionalLayer | protected |
| m_input_indices | CNeuralLayer | protected |
| m_input_num_channels | CNeuralConvolutionalLayer | protected |
| m_input_sizes | CNeuralLayer | protected |
| m_input_width | CNeuralConvolutionalLayer | protected |
| m_local_gradients | CNeuralLayer | protected |
| m_max_indices | CNeuralConvolutionalLayer | protected |
| m_model_selection_parameters | CSGObject | |
| m_num_maps | CNeuralConvolutionalLayer | protected |
| m_num_neurons | CNeuralLayer | protected |
| m_num_parameters | CNeuralLayer | protected |
| m_parameters | CSGObject | |
| m_pooling_height | CNeuralConvolutionalLayer | protected |
| m_pooling_width | CNeuralConvolutionalLayer | protected |
| m_radius_x | CNeuralConvolutionalLayer | protected |
| m_radius_y | CNeuralConvolutionalLayer | protected |
| m_stride_x | CNeuralConvolutionalLayer | protected |
| m_stride_y | CNeuralConvolutionalLayer | protected |
| m_width | CNeuralLayer | protected |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| save_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| save_serializable_post() | CSGObject | protectedvirtual |
| save_serializable_pre() | CSGObject | protectedvirtual |
| set_batch_size(int32_t batch_size) | CNeuralConvolutionalLayer | virtual |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_generic() | CSGObject | |
| set_global_io(SGIO *io) | CSGObject | |
| set_global_parallel(Parallel *parallel) | CSGObject | |
| set_global_version(Version *version) | CSGObject | |
| set_num_neurons(int32_t num_neurons) | CNeuralLayer | virtual |
| shallow_copy() const | CSGObject | virtual |
| unset_generic() | CSGObject | |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| ~CNeuralConvolutionalLayer() | CNeuralConvolutionalLayer | virtual |
| ~CNeuralLayer() | CNeuralLayer | virtual |
| ~CSGObject() | CSGObject | virtual |
