MyCaffe  1.12.2.41
Deep learning software for Windows C# programmers.
MyCaffe.common.Net< T > Member List

This is the complete list of members for MyCaffe.common.Net< T >, including all inherited members.

ActiveLabelCountsMyCaffe.common.Net< T >
AppendBottom(NetParameter param, int layer_id, int bottom_id, List< string > available_blobs, DictionaryEx< string, int > blob_name_to_idx)MyCaffe.common.Net< T >protected
AppendParam(NetParameter param, int layer_id, int param_id)MyCaffe.common.Net< T >protected
AppendTop(NetParameter param, int layer_id, int top_id, List< string > available_blobs, DictionaryEx< string, int > blob_name_to_idx)MyCaffe.common.Net< T >protected
Backward(int nStart=int.MaxValue, int nEnd=0)MyCaffe.common.Net< T >
BackwardDebugInfo(int layer_id)MyCaffe.common.Net< T >protected
blob_by_name(string strName, bool bThrowExceptionOnError=true)MyCaffe.common.Net< T >
blob_index_by_name(string strName)MyCaffe.common.Net< T >
blob_loss_weightsMyCaffe.common.Net< T >
blob_namesMyCaffe.common.Net< T >
blobsMyCaffe.common.Net< T >
BoostQueryHitPercentsMyCaffe.common.Net< T >
bottom_ids(int layer_id)MyCaffe.common.Net< T >
bottom_need_backwardMyCaffe.common.Net< T >
bottom_vecsMyCaffe.common.Net< T >
ClearParamDiffs()MyCaffe.common.Net< T >
CopyInternalBlobsTo(Net< T > dstNet)MyCaffe.common.Net< T >
CopyTrainedLayersFrom(NetParameter param)MyCaffe.common.Net< T >
CopyTrainedLayersTo(Net< T > dstNet)MyCaffe.common.Net< T >
CopyTrainedLayersTo(Net< T > dstNet, DictionaryEx< string, string > rgLayerNames, bool bTranspose)MyCaffe.common.Net< T >
CudaMyCaffe.common.Net< T >
Dispose(bool bDisposing)MyCaffe.common.Net< T >protectedvirtual
Dispose()MyCaffe.common.Net< T >
EnableBreakOnFirstNaNMyCaffe.common.Net< T >
EnableDetailedNanDetectionMyCaffe.common.Net< T >
EnableLayerDebuggingMyCaffe.common.Net< T >
FilterNet(NetParameter param)MyCaffe.common.Net< T >
FindBlob(string strName)MyCaffe.common.Net< T >
FindBottomBlobsOfLayer(string strLayer)MyCaffe.common.Net< T >
FindLastLayer(LayerParameter.LayerType type)MyCaffe.common.Net< T >
FindLayer(LayerParameter.LayerType? type, string strName)MyCaffe.common.Net< T >
FindLayer(string strType, string strName)MyCaffe.common.Net< T >
FindLayerIndexOwningBlob(Blob< T > b)MyCaffe.common.Net< T >
FindLayerOwningBlob(Blob< T > b)MyCaffe.common.Net< T >
FindLayers(LayerParameter.LayerType type)MyCaffe.common.Net< T >
FindLossBottomBlob()MyCaffe.common.Net< T >
FindTopBlobsOfLayer(string strLayer)MyCaffe.common.Net< T >
Forward()MyCaffe.common.Net< T >
Forward(out double dfLoss)MyCaffe.common.Net< T >
Forward(BlobCollection< T > colBottom, out double dfLoss, bool bReshape=false)MyCaffe.common.Net< T >
ForwardBackward(BlobCollection< T > colBottom, out double dfLocalLoss, TRAIN_STEP step=TRAIN_STEP.NONE)MyCaffe.common.Net< T >
ForwardDebugInfo(int layer_id)MyCaffe.common.Net< T >protected
ForwardFromTo(int nStart=0, int nEnd=int.MaxValue)MyCaffe.common.Net< T >
GetDataSource()MyCaffe.common.Net< T >
GetDebugInformation(bool bDetectNans)MyCaffe.common.Net< T >
has_blob(string strBlobName)MyCaffe.common.Net< T >
has_layer(string strLayer)MyCaffe.common.Net< T >
Init(NetParameter p, Phase phaseOverride=Phase.NONE, AutoResetEvent evtTrainingCompleted=null)MyCaffe.common.Net< T >
input_blob_indicesMyCaffe.common.Net< T >
input_blobsMyCaffe.common.Net< T >
InputDebugInfo(int input_id)MyCaffe.common.Net< T >protected
InsertSplits(NetParameter param)MyCaffe.common.Net< T >
LabelQueryEpochsMyCaffe.common.Net< T >
LabelQueryHitPercentsMyCaffe.common.Net< T >
layer_blobs(string strLayerName)MyCaffe.common.Net< T >
layer_by_name(string strLayer, bool bThrowExceptionOnError=true)MyCaffe.common.Net< T >
layer_index_by_name(string strLayer)MyCaffe.common.Net< T >
layer_namesMyCaffe.common.Net< T >
layer_need_backwardMyCaffe.common.Net< T >
layersMyCaffe.common.Net< T >
learnable_parametersMyCaffe.common.Net< T >
LoadWeights(byte[] rgWeights, IXPersist< T > persist, List< string > inputWtInfo=null, List< string > targetWtInfo=null, string strSkipBlobType=null)MyCaffe.common.Net< T >
nameMyCaffe.common.Net< T >
Net(CudaDnn< T > cuda, Log log, NetParameter p, CancelEvent evtCancel, IXDatabaseBase db, Phase phaseOverride=Phase.NONE, AutoResetEvent evtTrainingCompleted=null, Net< T > sharedNet=null, onGetWorkspace getws=null, onSetWorkspace setws=null)MyCaffe.common.Net< T >
net_paramMyCaffe.common.Net< T >
num_inputsMyCaffe.common.Net< T >
num_outputsMyCaffe.common.Net< T >
OnGetIterationMyCaffe.common.Net< T >
OnGetWorkspaceMyCaffe.common.Net< T >
OnSetWorkspaceMyCaffe.common.Net< T >
output_blob_indicesMyCaffe.common.Net< T >
output_blobsMyCaffe.common.Net< T >
param_by_name(string strName, bool bThrowExceptionOnError=true)MyCaffe.common.Net< T >
param_display_namesMyCaffe.common.Net< T >
param_names_indexMyCaffe.common.Net< T >
param_ownersMyCaffe.common.Net< T >
parametersMyCaffe.common.Net< T >
params_lrMyCaffe.common.Net< T >
params_weight_decayMyCaffe.common.Net< T >
phaseMyCaffe.common.Net< T >
ReInitializeParameters(WEIGHT_TARGET target, params string[] rgstrLayers)MyCaffe.common.Net< T >
Reshape()MyCaffe.common.Net< T >
RestorePhase()MyCaffe.common.Net< T >
SaveWeights(IXPersist< T > persist, bool bSaveDiff=false)MyCaffe.common.Net< T >
set_debug_info(bool bVal)MyCaffe.common.Net< T >
SetEnablePassthrough(bool bEnable)MyCaffe.common.Net< T >
SetLearnedParameters(BlobCollection< T > col)MyCaffe.common.Net< T >
SetPhase(Phase phase)MyCaffe.common.Net< T >
ShareTrainedLayersWith(Net< T > srcNet, bool bEnableLog=false)MyCaffe.common.Net< T >
ShareWeights()MyCaffe.common.Net< T >
StateMeetsRule(NetState state, NetStateRule rule, string strLayer)MyCaffe.common.Net< T >
top_ids(int layer_id)MyCaffe.common.Net< T >
top_vecsMyCaffe.common.Net< T >
ToProto(bool bIncludeBlobs)MyCaffe.common.Net< T >
Update()MyCaffe.common.Net< T >
UpdateDebugInfo(int param_id)MyCaffe.common.Net< T >protected