Index

A

actstats() (elektronn.net.convnet.MixedConvNN method) addConvLayer() (elektronn.net.convnet.MixedConvNN method) addDataFromFile() (elektronn.training.CNNData.CNNData method) addDataFromNdarray() (elektronn.training.CNNData.CNNData method)

addPerceptronLayer() (elektronn.net.convnet.MixedConvNN method) addRecurrentLayer() (elektronn.net.convnet.MixedConvNN method) addTiedAutoencoderChain() (elektronn.net.convnet.MixedConvNN method) AdultData (class in elektronn.training.traindata) AffinityLayer3d (class in elektronn.net.convlayer3d)

B

BackgroundProc (class in elektronn.training.parallelisation) backupScripts() (elektronn.training.config.Config method)

BalancedData (class in elektronn.training.traindata) blob() (in module elektronn.net.gaborfilters) BuzzData (class in elektronn.training.traindata)

C

checkConfig() (elektronn.training.config.Config method) CNNCalculator() (in module elektronn.net.netutils) CNNData (class in elektronn.training.CNNData) compileAdam (class in elektronn.net.optimizer) compileCG (class in elektronn.net.optimizer) compileDebugFunctions() (elektronn.net.convnet.MixedConvNN method) compileGradients() (elektronn.net.optimizer.Optimizer method) compileLBFGS (class in elektronn.net.optimizer) compileOutputFunctions() (elektronn.net.convnet.MixedConvNN method) compileRPROP (class in elektronn.net.optimizer) compileSGD (class in elektronn.net.optimizer)

Config (class in elektronn.training.config) convert_to_image() (elektronn.training.traindata.MNISTData method) ConvLayer2d (class in elektronn.net.convlayer2d) ConvLayer3d (class in elektronn.net.convlayer3d) create_predncnn() (in module elektronn.training.predictor) createCVSplit() (elektronn.training.traindata.Data method) createNet() (elektronn.training.trainer.Trainer method) (in module elektronn.net.netcreation) createNetfromParams() (in module elektronn.net.netcreation) createSplitPerm() (elektronn.training.traindata.Data method) cross_entropy() (elektronn.net.perceptronlayer.PerceptronLayer method) cross_entropy_array() (elektronn.net.perceptronlayer.PerceptronLayer method)

D

Data (class in elektronn.training.traindata) debugGetCNNBatch() (elektronn.training.trainer.Trainer method)

DefaultConfig (class in elektronn.training.config) download() (elektronn.training.traindata.MNISTData method)

E

elektronn.net (module) elektronn.net.convlayer2d (module) elektronn.net.convlayer3d (module) elektronn.net.convnet (module) elektronn.net.gaborfilters (module) elektronn.net.introspection (module) elektronn.net.netcreation (module) elektronn.net.netutils (module) elektronn.net.optimizer (module) elektronn.net.perceptronlayer (module) elektronn.net.pooling (module) elektronn.training (module) elektronn.training.CNNData (module)

elektronn.training.config (module) elektronn.training.parallelisation (module) elektronn.training.predictor (module) elektronn.training.traindata (module) elektronn.training.trainer (module) elektronn.training.trainutils (module) elektronn.training.warping (module) embedMatricesInGray() (in module elektronn.net.introspection) errors() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.AffinityLayer3d method) (elektronn.net.convlayer3d.ConvLayer3d method) (elektronn.net.perceptronlayer.PerceptronLayer method) errors_no_tn() (elektronn.net.perceptronlayer.PerceptronLayer method)

F

fixValues() (elektronn.training.config.Config method) fragmentpool() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method)

fragmentstodense() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method)

G

gaborInitialisation() (elektronn.net.convlayer2d.ConvLayer2d method) GeneData (class in elektronn.training.traindata) get() (elektronn.training.parallelisation.BackgroundProc method) (elektronn.training.parallelisation.SharedQ method) get_activities() (elektronn.net.convnet.MixedConvNN method) get_free_gpu() (in module elektronn.training.trainutils) get_loss() (elektronn.net.optimizer.Optimizer method) get_nonpooled_activities() (elektronn.net.convnet.MixedConvNN method) getbatch() (elektronn.training.CNNData.CNNData method) (elektronn.training.traindata.BalancedData method) (elektronn.training.traindata.BuzzData method) (elektronn.training.traindata.Data method) (elektronn.training.traindata.GeneData method) (elektronn.training.traindata.MNISTData method) (elektronn.training.traindata.PianoData method)

getbatch_balanced() (elektronn.training.traindata.BalancedData method) getCornerIx() (in module elektronn.training.warping) getDropoutRates() (elektronn.net.convnet.MixedConvNN method) getExampleWeights() (elektronn.training.CNNData.CNNData method) getOutputShape() (in module elektronn.net.convlayer2d) (in module elektronn.net.convlayer3d) getProbShape() (in module elektronn.net.convlayer2d) (in module elektronn.net.convlayer3d) getRequiredPatchSize() (in module elektronn.training.warping) getWarpParams() (in module elektronn.training.warping) gradstats() (elektronn.net.convnet.MixedConvNN method)

H

h5Load() (in module elektronn.training.trainutils)

h5Save() (in module elektronn.training.trainutils)

I

import_variable_from_file() (in module elektronn.training.trainutils)

initGPU() (in module elektronn.training.trainutils) initWeights() (in module elektronn.net.netutils)

L

levenshtein() (elektronn.training.config.Config method) lineSearch() (elektronn.net.optimizer.compileCG method) list2vect() (elektronn.net.optimizer.compileLBFGS method)

loadData() (elektronn.training.trainer.Trainer method) loadParameters() (elektronn.net.convnet.MixedConvNN method) loss_and_grad() (elektronn.net.optimizer.compileLBFGS method)

M

makeExampleSubset() (elektronn.training.traindata.Data method) makeFeatureSubset() (elektronn.training.traindata.Data method) makeGabor() (in module elektronn.net.gaborfilters) makeGaborFilters() (in module elektronn.net.gaborfilters) maketestimage() (in module elektronn.training.warping) MalisLayer (class in elektronn.net.convlayer3d) malisPreviewSlice() (elektronn.training.trainer.Trainer method) mandatory_cnn (elektronn.training.config.Config attribute)

mandatory_data (elektronn.training.config.Config attribute) mandatory_mlp (elektronn.training.config.Config attribute) mandatory_vars (elektronn.training.config.Config attribute) MasterConfig (class in elektronn.training.config) maxabs() (in module elektronn.net.pooling) maxout() (in module elektronn.net.pooling) MixedConvNN (class in elektronn.net.convnet) MNISTData (class in elektronn.training.traindata) my_max_pool_3d() (in module elektronn.net.pooling)

N

ndarray2shm() (elektronn.training.parallelisation.SharedMem static method) NLL() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method) (elektronn.net.perceptronlayer.PerceptronLayer method) NLL_affinity() (elektronn.net.convlayer3d.AffinityLayer3d method) (elektronn.net.convlayer3d.ConvLayer3d method)

NLL_Malis() (elektronn.net.convlayer3d.MalisLayer method) nll_mutiple_binary() (elektronn.net.perceptronlayer.PerceptronLayer method) NLL_weak() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method) (elektronn.net.perceptronlayer.PerceptronLayer method)

O

Optimizer (class in elektronn.net.optimizer)

P

paramstats() (elektronn.net.convnet.MixedConvNN method) parseargs() (in module elektronn.training.trainutils) parseargs_dev() (in module elektronn.training.trainutils) parseConfig() (elektronn.training.config.Config method) PerceptronLayer (class in elektronn.net.perceptronlayer) PianoData (class in elektronn.training.traindata) pickleLoad() (in module elektronn.training.trainutils) pickleSave() (in module elektronn.training.trainutils) plotFilters() (in module elektronn.net.introspection) plotInfo() (in module elektronn.training.trainutils) plotInfoFromFiles() (in module elektronn.training.trainutils)

plotTrainingTarget() (in module elektronn.training.CNNData) pooling2d() (in module elektronn.net.pooling) pooling3d() (in module elektronn.net.pooling) pprintmenu() (in module elektronn.training.trainutils) predictAndWrite() (elektronn.training.trainer.Trainer method) predictDense() (elektronn.net.convnet.MixedConvNN method) previewDiffPlot() (in module elektronn.training.trainutils) previewSlice() (elektronn.training.trainer.Trainer method) previewSliceFromTrainData() (elektronn.training.trainer.Trainer method) Proc (class in elektronn.training.parallelisation) puthandle() (elektronn.training.parallelisation.SharedMem method)

Q

QueueData (class in elektronn.training.traindata) queueget() (elektronn.training.traindata.QueueData method)

queuereset() (elektronn.training.traindata.QueueData method) queueupdate() (elektronn.training.traindata.QueueData method)

R

randomizeWeights() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method) (elektronn.net.convnet.MixedConvNN method) (elektronn.net.perceptronlayer.PerceptronLayer method) (elektronn.net.perceptronlayer.RecurrentLayer method) RecurrentLayer (class in elektronn.net.perceptronlayer)

reset() (elektronn.training.parallelisation.BackgroundProc method) (elektronn.training.trainer.Trainer method) resetMomenta() (elektronn.net.convnet.MixedConvNN method) reshapeoutput() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method) run() (elektronn.training.parallelisation.Proc method) (elektronn.training.trainer.Trainer method)

S

save() (elektronn.training.traindata.QueueData method) saveHist() (in module elektronn.training.trainutils) saveParameters() (elektronn.net.convnet.MixedConvNN method) setDropoutRates() (elektronn.net.convnet.MixedConvNN method) setOptimizerParams() (elektronn.net.convnet.MixedConvNN method) setSGDLR() (elektronn.net.convnet.MixedConvNN method) setSGDMomentum() (elektronn.net.convnet.MixedConvNN method) setWeightDecay() (elektronn.net.convnet.MixedConvNN method) SharedMem (class in elektronn.training.parallelisation) SharedQ (class in elektronn.training.parallelisation) shm2ndarray() (elektronn.training.parallelisation.SharedMem static method)

showActivations() (in module elektronn.net.introspection) showActivityHistogram() (in module elektronn.net.introspection) showMultipleFiguresAdd() (in module elektronn.net.introspection) showParamHistogram() (in module elektronn.net.introspection) shutdown() (elektronn.training.parallelisation.BackgroundProc method) sort_human() (in module elektronn.training.traindata) splitData() (elektronn.training.traindata.Data method) squared_distance() (elektronn.net.convlayer2d.ConvLayer2d method) (elektronn.net.convlayer3d.ConvLayer3d method) (elektronn.net.perceptronlayer.PerceptronLayer method) startproc() (elektronn.training.parallelisation.SharedQ method)

T

test() (in module elektronn.training.warping) testModel() (elektronn.training.trainer.Trainer method) timeit() (in module elektronn.training.trainutils)

Trainer (class in elektronn.training.trainer) trainingStep() (elektronn.net.convnet.MixedConvNN method) typeChecks() (elektronn.training.config.Config method)

U

updateOptimizerParams() (elektronn.net.optimizer.Optimizer method)

userInput() (in module elektronn.training.trainutils)

V

vec2list() (elektronn.net.optimizer.compileLBFGS method)

W

warp2dJoint() (in module elektronn.training.warping)

warp3dJoint() (in module elektronn.training.warping)

X

xyz2zyx() (in module elektronn.training.trainutils)