| add_hidden_layer(int32_t num_units) | CDeepBeliefNetwork | virtual |
| build_gradient_parameter_dictionary(CMap< TParameter *, CSGObject * > *dict) | CSGObject | |
| cd_num_steps | CDeepBeliefNetwork | |
| CDeepBeliefNetwork() | CDeepBeliefNetwork | |
| CDeepBeliefNetwork(int32_t num_visible_units, ERBMVisibleUnitType unit_type=RBMVUT_BINARY) | CDeepBeliefNetwork | |
| clone() | CSGObject | virtual |
| convert_to_neural_network(CNeuralLayer *output_layer=NULL, float64_t sigma=0.01) | CDeepBeliefNetwork | virtual |
| CSGObject() | CSGObject | |
| CSGObject(const CSGObject &orig) | CSGObject | |
| deep_copy() const | CSGObject | virtual |
| down_step(int32_t index, SGVector< float64_t > params, SGMatrix< float64_t > input, SGMatrix< float64_t > result, bool sample_states=true) | CDeepBeliefNetwork | protectedvirtual |
| equals(CSGObject *other, float64_t accuracy=0.0, bool tolerant=false) | CSGObject | virtual |
| gd_learning_rate | CDeepBeliefNetwork | |
| gd_learning_rate_decay | CDeepBeliefNetwork | |
| gd_mini_batch_size | CDeepBeliefNetwork | |
| gd_momentum | CDeepBeliefNetwork | |
| get_biases(int32_t index, SGVector< float64_t > p=SGVector< float64_t >()) | CDeepBeliefNetwork | virtual |
| get_global_io() | CSGObject | |
| get_global_parallel() | CSGObject | |
| get_global_version() | CSGObject | |
| 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 | CDeepBeliefNetwork | virtual |
| get_weights(int32_t index, SGVector< float64_t > p=SGVector< float64_t >()) | CDeepBeliefNetwork | virtual |
| initialize_neural_network(float64_t sigma=0.01) | CDeepBeliefNetwork | virtual |
| io | CSGObject | |
| is_generic(EPrimitiveType *generic) const | CSGObject | virtual |
| load_serializable(CSerializableFile *file, const char *prefix="") | CSGObject | virtual |
| load_serializable_post() | CSGObject | protectedvirtual |
| load_serializable_pre() | CSGObject | protectedvirtual |
| m_batch_size | CDeepBeliefNetwork | protected |
| m_bias_index_offsets | CDeepBeliefNetwork | protected |
| m_gradient_parameters | CSGObject | |
| m_hash | CSGObject | |
| m_layer_sizes | CDeepBeliefNetwork | protected |
| m_model_selection_parameters | CSGObject | |
| m_num_layers | CDeepBeliefNetwork | protected |
| m_num_params | CDeepBeliefNetwork | protected |
| m_parameters | CSGObject | |
| m_params | CDeepBeliefNetwork | protected |
| m_sigma | CDeepBeliefNetwork | protected |
| m_states | CDeepBeliefNetwork | protected |
| m_visible_units_type | CDeepBeliefNetwork | protected |
| m_weights_index_offsets | CDeepBeliefNetwork | protected |
| max_num_epochs | CDeepBeliefNetwork | |
| monitoring_interval | CDeepBeliefNetwork | |
| parallel | CSGObject | |
| parameter_hash_changed() | CSGObject | virtual |
| pre_train(CDenseFeatures< float64_t > *features) | CDeepBeliefNetwork | virtual |
| pre_train(int32_t index, CDenseFeatures< float64_t > *features) | CDeepBeliefNetwork | virtual |
| print_modsel_params() | CSGObject | |
| print_serializable(const char *prefix="") | CSGObject | virtual |
| pt_cd_num_steps | CDeepBeliefNetwork | |
| pt_cd_persistent | CDeepBeliefNetwork | |
| pt_cd_sample_visible | CDeepBeliefNetwork | |
| pt_gd_learning_rate | CDeepBeliefNetwork | |
| pt_gd_learning_rate_decay | CDeepBeliefNetwork | |
| pt_gd_mini_batch_size | CDeepBeliefNetwork | |
| pt_gd_momentum | CDeepBeliefNetwork | |
| pt_l1_coefficient | CDeepBeliefNetwork | |
| pt_l2_coefficient | CDeepBeliefNetwork | |
| pt_max_num_epochs | CDeepBeliefNetwork | |
| pt_monitoring_interval | CDeepBeliefNetwork | |
| pt_monitoring_method | CDeepBeliefNetwork | |
| reset_chain() | CDeepBeliefNetwork | virtual |
| sample(int32_t num_gibbs_steps=1, int32_t batch_size=1) | CDeepBeliefNetwork | 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) | CDeepBeliefNetwork | 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 | |
| shallow_copy() const | CSGObject | virtual |
| train(CDenseFeatures< float64_t > *features) | CDeepBeliefNetwork | virtual |
| transform(CDenseFeatures< float64_t > *features, int32_t i=-1) | CDeepBeliefNetwork | virtual |
| unset_generic() | CSGObject | |
| up_step(int32_t index, SGVector< float64_t > params, SGMatrix< float64_t > input, SGMatrix< float64_t > result, bool sample_states=true) | CDeepBeliefNetwork | protectedvirtual |
| update_parameter_hash() | CSGObject | virtual |
| version | CSGObject | |
| wake_sleep(SGMatrix< float64_t > data, CRBM *top_rbm, SGMatrixList< float64_t > sleep_states, SGMatrixList< float64_t > wake_states, SGMatrixList< float64_t > psleep_states, SGMatrixList< float64_t > pwake_states, SGVector< float64_t > gen_params, SGVector< float64_t > rec_params, SGVector< float64_t > gen_gradients, SGVector< float64_t > rec_gradients) | CDeepBeliefNetwork | protectedvirtual |
| ~CDeepBeliefNetwork() | CDeepBeliefNetwork | virtual |
| ~CSGObject() | CSGObject | virtual |
