- a -

• addLayer() : NeuralNet
• asNewCharStar() : NeuralNet
• asString() : Layer , NeuralNet

- b -

• backward() : Layer , NeuralNet
• backwardFromLabels() : NeuralNet
• Batcher() : Batcher
• biased() : ConvolutionalMaker , FullyConnectedMaker

- c -

• calcLoss() : NeuralNet
• calcLossFromLabels() : NeuralNet
• calcNumRight() : NeuralNet
• ConvolutionalMaker() : ConvolutionalMaker
• createNetFromNetdef() : NetdefToNet
• createNetFromNetdefCharStar() : NetdefToNet

- f -

• filterSize() : ConvolutionalMaker
• forward() : NeuralNet
• FullyConnectedMaker() : FullyConnectedMaker

- g -

• getBatchLoss() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• getBatchNumRight() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• getBiased() : Layer
• getBiasSize() : Layer
• getDimensions() : GenericLoader
• getEpochDone() : Batcher , NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2 , OnDemandBatcher , OnDemandBatcherv2
• getFirstLayer() : NeuralNet
• getInputCubeSize() : NeuralNet
• getLastLayer() : NeuralNet
• getLayer() : NeuralNet
• getLoss() : Batcher , OnDemandBatcher , OnDemandBatcherv2
• getN() : Batcher , OnDemandBatcher , OnDemandBatcherv2
• getNextBatch() : Batcher , NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2 , OnDemandBatcher , OnDemandBatcherv2
• getNextEpoch() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• getNextFileBatch() : OnDemandBatcher , OnDemandBatcherv2
• getNTrain() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• getNumLayers() : NeuralNet
• getNumRight() : Batcher , OnDemandBatcher , OnDemandBatcherv2
• getOutput() : Layer , NeuralNet
• getOutputCubeSize() : Layer , NeuralNet
• getOutputNumElements() : Layer , NeuralNet
• getOutputPlanes() : Layer , NeuralNet
• getOutputSize() : Layer , NeuralNet
• getOutputWrapper() : Layer
• getPersistSize() : Layer
• getWeightsSize() : Layer

- h -

• hasOutputWrapper() : Layer

- i -

• imageSize() : FullyConnectedMaker , InputLayerMaker
• initBias() : NeuralNet
• initWeights() : NeuralNet
• InputLayerMaker() : InputLayerMaker
• instance() : ConvolutionalMaker , FullyConnectedMaker , InputLayerMaker , NormalizationLayerMaker , PoolingMaker , RandomPatchesMaker , RandomTranslationsMaker
• isLearningDone() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2

- l -

• Layer() : Layer
• load() : GenericLoader

- n -

• NetLearner() : NetLearner
• NetLearnerOnDemand() : NetLearnerOnDemand
• NetLearnerOnDemandv2() : NetLearnerOnDemandv2
• NeuralNet() : NeuralNet
• NormalizationLayerMaker() : NormalizationLayerMaker
• numFilters() : ConvolutionalMaker
• numPlanes() : FullyConnectedMaker , InputLayerMaker

- o -

• OnDemandBatcher() : OnDemandBatcher
• OnDemandBatcherv2() : OnDemandBatcherv2

- p -

• padZeros() : ConvolutionalMaker
• patchSize() : RandomPatchesMaker
• persistToArray() : Layer
• PoolingMaker() : PoolingMaker
• poolingSize() : PoolingMaker

- r -

• RandomPatchesMaker() : RandomPatchesMaker
• RandomTranslationsMaker() : RandomTranslationsMaker
• reset() : Batcher , NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2 , OnDemandBatcher , OnDemandBatcherv2
• run() : Batcher , NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2 , OnDemandBatcher , OnDemandBatcherv2

- s -

• scale() : NormalizationLayerMaker
• setBatchSize() : Layer , NeuralNet
• setTraining() : Layer , NeuralNet

- t -

• tick() : Batcher , OnDemandBatcher , OnDemandBatcherv2
• tickBatch() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• tickEpoch() : NetLearner , NetLearnerOnDemand , NetLearnerOnDemandv2
• translate() : NormalizationLayerMaker
• translateSize() : RandomTranslationsMaker

- u -

• unpersistFromArray() : Layer