DeepCL
v4.0.0rc5
Deep convolutional neural networks using OpenCL
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All
Classes
Functions
- a -
addLayer() :
NeuralNet
asString() :
Layer
,
NeuralNet
- b -
backProp() :
Layer
,
NeuralNet
backPropFromLabels() :
NeuralNet
Batcher() :
Batcher
biased() :
ConvolutionalMaker
,
FullyConnectedMaker
- c -
calcLoss() :
NeuralNet
calcLossFromLabels() :
NeuralNet
calcNumRight() :
NeuralNet
ConvolutionalMaker() :
ConvolutionalMaker
copyArrayToNetWeights() :
WeightsPersister
copyNetWeightsToArray() :
WeightsPersister
createNetFromNetdef() :
NetdefToNet
- f -
filterSize() :
ConvolutionalMaker
fn() :
ConvolutionalMaker
,
FullyConnectedMaker
FullyConnectedMaker() :
FullyConnectedMaker
- g -
getActivationFunction() :
Layer
getBatchLoss() :
NetLearner
,
NetLearnerOnDemand
getBatchNumRight() :
NetLearner
,
NetLearnerOnDemand
getBiased() :
Layer
getBiasWeightsSize() :
Layer
getDimensions() :
GenericLoader
getEpochDone() :
Batcher
,
NetLearner
,
NetLearnerOnDemand
,
OnDemandBatcher
getFirstLayer() :
NeuralNet
getInputCubeSize() :
NeuralNet
getLastLayer() :
NeuralNet
getLayer() :
NeuralNet
getLoss() :
Batcher
,
OnDemandBatcher
getN() :
Batcher
,
OnDemandBatcher
getNextBatch() :
Batcher
,
NetLearner
,
NetLearnerOnDemand
,
OnDemandBatcher
getNextEpoch() :
NetLearner
,
NetLearnerOnDemand
getNextFileBatch() :
OnDemandBatcher
getNTrain() :
NetLearner
,
NetLearnerOnDemand
getNumLayers() :
NeuralNet
getNumRight() :
Batcher
,
OnDemandBatcher
getOutputCubeSize() :
Layer
,
NeuralNet
getOutputImageSize() :
Layer
,
NeuralNet
getOutputPlanes() :
Layer
,
NeuralNet
getPersistSize() :
Layer
getResults() :
Layer
,
NeuralNet
getResultsSize() :
Layer
,
NeuralNet
getResultsWrapper() :
Layer
getTotalNumWeights() :
WeightsPersister
getWeightsSize() :
Layer
- h -
hasResultsWrapper() :
Layer
- i -
imageSize() :
FullyConnectedMaker
,
InputLayerMaker
initBiasWeights() :
NeuralNet
initWeights() :
NeuralNet
InputLayerMaker() :
InputLayerMaker
instance() :
ConvolutionalMaker
,
FullyConnectedMaker
,
InputLayerMaker
,
NormalizationLayerMaker
,
PoolingMaker
,
RandomPatchesMaker
,
RandomTranslationsMaker
isLearningDone() :
NetLearner
,
NetLearnerOnDemand
- l -
Layer() :
Layer
learn() :
NetLearner
,
NetLearnerOnDemand
linear() :
ConvolutionalMaker
,
FullyConnectedMaker
load() :
GenericLoader
- n -
NetLearner() :
NetLearner
NetLearnerOnDemand() :
NetLearnerOnDemand
NeuralNet() :
NeuralNet
NormalizationLayerMaker() :
NormalizationLayerMaker
numFilters() :
ConvolutionalMaker
numPlanes() :
FullyConnectedMaker
,
InputLayerMaker
- o -
OnDemandBatcher() :
OnDemandBatcher
- p -
padZeros() :
ConvolutionalMaker
patchSize() :
RandomPatchesMaker
persistToArray() :
Layer
PoolingMaker() :
PoolingMaker
poolingSize() :
PoolingMaker
propagate() :
NeuralNet
- r -
RandomPatchesMaker() :
RandomPatchesMaker
RandomTranslationsMaker() :
RandomTranslationsMaker
relu() :
ConvolutionalMaker
,
FullyConnectedMaker
reset() :
Batcher
,
NetLearner
,
NetLearnerOnDemand
,
OnDemandBatcher
run() :
Batcher
,
NetLearner
,
NetLearnerOnDemand
,
OnDemandBatcher
- s -
scale() :
NormalizationLayerMaker
setBatchSize() :
Layer
,
NeuralNet
setLearningRate() :
NetLearner
setTraining() :
Layer
,
NeuralNet
sigmoid() :
ConvolutionalMaker
,
FullyConnectedMaker
- t -
tanh() :
ConvolutionalMaker
,
FullyConnectedMaker
tick() :
Batcher
,
OnDemandBatcher
tickBatch() :
NetLearner
,
NetLearnerOnDemand
tickEpoch() :
NetLearner
,
NetLearnerOnDemand
translate() :
NormalizationLayerMaker
translateSize() :
RandomTranslationsMaker
- u -
unpersistFromArray() :
Layer
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