Here is a list of all documented class members with links to the class documentation for each member:

- a -

• AddIncoming() : Layer
• AddOutgoing() : Layer
• AllocateEdgeMemory() : ConvNet
• AllocateLayerMemory() : ConvNet
• AllocateMemory() : ConvEdge , ConvNet , ConvOneToOneEdge , Edge , FCEdge , Layer , LinearLayer , LocalEdge , LogisticLayer , MaxPoolEdge , ResponseNormEdge , SoftmaxDistLayer , SoftmaxLayer
• ApplyActivation() : Layer , LinearLayer , LogisticLayer , ReLULayer , SoftmaxLayer
• ApplyDerivativeOfActivation() : Layer , LinearLayer , LogisticLayer , ReLULayer , SoftmaxLayer
• ApplyDerivativeofDropout() : Layer
• ApplyDropout() : Layer

- b -

• block_backprop_ : Edge
• Bprop() : ConvNet , MultiGPUConvNet
• BuildNet() : ConvNet

- c -

• CheckReduceLearningRate() : ConvNet
• ChooseEdgeClass() : Edge
• ComputeDeriv() : ConvNet , Layer , LinearLayer , LogisticLayer , SoftmaxDistLayer , SoftmaxLayer
• ComputeDown() : ConvEdge , ConvOneToOneEdge , DownSampleEdge , Edge , FCEdge , LocalEdge , MaxPoolEdge , ResponseNormEdge , RGBToYUVEdge , UpSampleEdge
• ComputeOuter() : ConvEdge , ConvOneToOneEdge , Edge , FCEdge , LocalEdge
• ComputeUp() : ConvEdge , ConvOneToOneEdge , DownSampleEdge , Edge , FCEdge , LocalEdge , MaxPoolEdge , ResponseNormEdge , RGBToYUVEdge , UpSampleEdge
• ConvNet() : ConvNet

- d -

• data_ : Layer
• data_layers_ : ConvNet
• deriv_ : Layer
• dest_ : Edge
• DestroyNet() : ConvNet
• Display() : ConvNet
• DisplayWeights() : ConvEdge , Edge , EdgeWithWeight , LocalEdge
• DisplayWeightStats() : Edge , EdgeWithWeight
• DumpOutputs() : ConvNet

- e -

• Edge() : Edge
• edges_ : ConvNet

- f -

• Fprop() : ConvNet , MultiGPUConvNet

- g -

• GetData() : Layer
• GetDeriv() : Layer
• GetIncomingEdge() : Layer
• GetLoss() : ConvNet , GradChecker , Layer , LinearLayer , LogisticLayer , SoftmaxDistLayer , SoftmaxLayer
• GetLoss2() : Layer , SoftmaxLayer
• GetNumModules() : ConvEdge , ConvOneToOneEdge , Edge , EdgeWithWeight , LocalEdge , MaxPoolEdge , RGBToYUVEdge
• GetRMSWeight() : Edge , EdgeWithWeight
• GetState() : Layer

- h -

• HasNoParameters() : Edge , EdgeWithWeight

- i -

• img_display_ : Layer
• Initialize() : Edge , EdgeWithWeight
• input_layers_ : ConvNet
• IsBackPropBlocked() : Edge

- l -

• Layer() : Layer
• layers_ : ConvNet
• Load() : ConvNet
• LoadParameters() : Edge , EdgeWithWeight

- m -

• max_iter_ : ConvNet

- o -

• other_derivs_ : Layer
• other_states_ : Layer
• output_layers_ : ConvNet

- r -

• rand_gaussian_ : Layer
• ReduceLearningRate() : ConvNet , Edge , EdgeWithWeight

- s -

• Save() : ConvNet
• SaveParameters() : Edge , EdgeWithWeight
• SetImageSize() : ConvEdge , ConvOneToOneEdge , DownSampleEdge , Edge , LocalEdge , MaxPoolEdge , ResponseNormEdge , UpSampleEdge
• SetInputChannels() : Edge
• SetOutputChannels() : Edge
• SetTiedTo() : ConvEdge , Edge , EdgeWithWeight , LocalEdge , MaxPoolEdge , ResponseNormEdge
• Sort() : ConvNet
• source_node_ : Edge

- t -

• Train() : ConvNet
• TrainOneBatch() : ConvNet

- u -

• UpdateWeights() : Edge , EdgeWithWeight

- v -

• Validate() : ConvNet