deepnetts.automl.*
-
"divide_and_conquer"
"grid"
"random"
-
"hiddenActivation"
"hiddenLayers"
"hiddenNeurons"
"inputs"
"learningRate"
"maxEpochs"
"maxError"
"momentum"
"optimization"
"outputActivation"
"outputs"
"stopEpochs"
"stopError"
deepnetts.eval.*
-
"FalseNegative"
"FalsePositive"
"TrueNegative"
"TruePositive"
deepnetts.net.*
-
"batchMode"
"batchSize"
"learningRate"
"maxEpochs"
"maxError"
"momentum"
"optimizer"
-
public static final int
1
public static final int
0
deepnetts.tensor.*
-
public static final int
1
public static final int
2
public static final int
0
deepnetts.util.*
-
"training.properties"
"imageHeight"
"imageWidth"
"labelsFile"
"learningRate"
"maxError"
"testFile"
"trainingFile"
-
-
"index.txt"
"labels.txt"
"test.txt"
"train.txt"