API for EdwinGraham/EdNet
Train deep neural networks for classification and regression

Global functions
EdNetTrain Man page Source code
backwardPropagation Source code
computeCost Source code
costBernoulli Source code
costCategorical Source code
costGamma Source code
costNormal Source code
costPoisson Source code
costTweedie Source code
devianceBernoulli Man page Source code
devianceCategorical Man page Source code
devianceGamma Man page Source code
devianceNormal Man page Source code
deviancePoisson Man page Source code
devianceTweedie Man page Source code
dfBinary Man page
dfGamma Man page
dfPoisson Man page
dfTweedie Man page
forwardPropagation Source code
generateMiniBatches Source code
gradGamma Source code
gradGeneric Source code
gradTweedie Source code
initialiseParams Source code
initialise_s Source code
initialise_v Source code
normalise Man page Source code
onehotEncode Man page Source code
outputFamily Source code
predict.EdNetModel Man page Source code
predictedClass Man page Source code
relu Man page Source code
sigmoid Man page Source code
softmax Source code
updateParameters Source code
weightedMean Source code
EdwinGraham/EdNet documentation built on Jan. 27, 2018, 7:01 a.m.