|
ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
|
|
ConvNet
1.0
A GPU-based C++ implementation of Convolutional Neural Nets
|
This is the complete list of members for GradChecker, including all inherited members.
| AddVectors(vector< float > &a, vector< float > &b) (defined in ConvNet) | ConvNet | protectedstatic |
| AllocateEdgeMemory(bool fprop_only) | ConvNet | protected |
| AllocateLayerMemory() | ConvNet | protected |
| AllocateMemory(bool fprop_only) | ConvNet | |
| batch_size_ (defined in ConvNet) | ConvNet | protected |
| Bprop(Layer &output, Layer &input, Edge &edge, bool overwrite, bool update_weights) | ConvNet | protectedvirtual |
| Bprop(bool update_weights) | ConvNet | protectedvirtual |
| BuildNet() | ConvNet | protected |
| checkpoint_dir_ (defined in ConvNet) | ConvNet | protected |
| CheckReduceLearningRate(const vector< float > &val_error) | ConvNet | protected |
| ComputeDeriv() | ConvNet | protectedvirtual |
| ConvNet(const string &model_file) | ConvNet | |
| current_iter_ (defined in ConvNet) | ConvNet | protected |
| data_layers_ | ConvNet | protected |
| DestroyNet() | ConvNet | protected |
| Display() | ConvNet | |
| DisplayEdges() (defined in ConvNet) | ConvNet | protected |
| displayer_ (defined in ConvNet) | ConvNet | protected |
| DisplayLayers() (defined in ConvNet) | ConvNet | protected |
| DumpOutputs(const string &output_file, DataHandler *dataset, const vector< string > &layer_names) | ConvNet | |
| DumpOutputs(const string &output_file, const vector< string > &layer_names) | ConvNet | |
| DumpOutputs(const string &output_file, DataHandler *dataset, vector< Layer * > &layers) | ConvNet | protected |
| edges_ | ConvNet | protected |
| Fprop(Layer &input, Layer &output, Edge &edge, bool overwrite) | ConvNet | protected |
| Fprop(bool train) | ConvNet | protectedvirtual |
| GetCheckpointFilename() (defined in ConvNet) | ConvNet | protected |
| GetLayerByName(const string &name) (defined in ConvNet) | ConvNet | protected |
| GetLoss(vector< float > &error) | GradChecker | protectedvirtual |
| GradChecker(const string &model_file) (defined in GradChecker) | GradChecker | |
| input_layers_ | ConvNet | protected |
| InsertPolyak() (defined in ConvNet) | ConvNet | protected |
| layers_ | ConvNet | protected |
| Load() | ConvNet | |
| Load(const string &input_file) | ConvNet | |
| LoadCurrentWeights() (defined in ConvNet) | ConvNet | protected |
| LoadPolyakWeights() (defined in ConvNet) | ConvNet | protected |
| log_file_ (defined in ConvNet) | ConvNet | protected |
| lr_reduce_counter_ (defined in ConvNet) | ConvNet | protected |
| max_iter_ | ConvNet | protected |
| model_ (defined in ConvNet) | ConvNet | protected |
| model_filename_ (defined in ConvNet) | ConvNet | protected |
| model_name_ (defined in ConvNet) | ConvNet | protected |
| output_file_ (defined in ConvNet) | ConvNet | protected |
| output_layers_ | ConvNet | protected |
| ReduceLearningRate(const float factor) | ConvNet | protected |
| Run() (defined in GradChecker) | GradChecker | |
| Run(Matrix &w, Matrix &dLbydw_analytical, float epsilon, const vector< float > &analytical_error) (defined in GradChecker) | GradChecker | |
| Save() | ConvNet | |
| Save(const string &output_file) | ConvNet | |
| SetupDataset(const string &train_data_config_file) (defined in ConvNet) | ConvNet | |
| SetupDataset(const string &train_data_config_file, const string &val_data_config_file) (defined in ConvNet) | ConvNet | virtual |
| Sort() | ConvNet | protected |
| timestamp_ (defined in ConvNet) | ConvNet | protected |
| TimestampModel() (defined in ConvNet) | ConvNet | protected |
| Train() | ConvNet | virtual |
| train_dataset_ (defined in ConvNet) | ConvNet | protected |
| TrainOneBatch(vector< float > &error) | ConvNet | protectedvirtual |
| val_dataset_ (defined in ConvNet) | ConvNet | protected |
| val_log_file_ (defined in ConvNet) | ConvNet | protected |
| Validate(DataHandler *dataset, vector< float > &error) | ConvNet | |
| Validate(vector< float > &error) | ConvNet | |
| WriteLog(int current_iter, float time, float training_error) (defined in ConvNet) | ConvNet | protected |
| WriteLog(int current_iter, float time, const vector< float > &training_error) (defined in ConvNet) | ConvNet | protected |
| WriteValLog(int current_iter, const vector< float > &error) (defined in ConvNet) | ConvNet | protected |
| ~ConvNet() (defined in ConvNet) | ConvNet |
1.8.7
