public class OutputLayer extends BaseOutputLayer<OutputLayer>
Layer.TrainingMode, Layer.Type
inputMaskArray, inputMaskArrayState, labels
gradient, gradientsFlattened, gradientViews, optimizer, params, paramsFlattened, score, weightNoiseParams
cacheMode, conf, dropoutApplied, epochCount, index, input, inputModificationAllowed, iterationCount, maskArray, maskState, preOutput, trainingListeners
Constructor and Description |
---|
OutputLayer(NeuralNetConfiguration conf) |
OutputLayer(NeuralNetConfiguration conf,
INDArray input) |
Modifier and Type | Method and Description |
---|---|
protected INDArray |
getLabels2d(LayerWorkspaceMgr workspaceMgr,
ArrayType arrayType) |
activate, applyMask, backpropGradient, clear, computeGradientAndScore, computeScore, computeScoreForExamples, f1Score, f1Score, fit, fit, fit, fit, fit, getLabels, gradient, gradientAndScore, hasBias, isPretrainLayer, labelProbabilities, needsLabels, numLabels, predict, predict, preOutput2d, setLabels, setScoreWithZ
activate, calcL1, calcL2, clearNoiseWeightParams, clone, fit, getGradientsViewArray, getOptimizer, getParam, getParamWithNoise, layerConf, numParams, params, paramTable, paramTable, preOutput, score, setBackpropGradientsViewArray, setParam, setParams, setParams, setParamsViewArray, setParamTable, toString, update, update
addListeners, allowInputModification, applyConstraints, applyDropOutIfNecessary, assertInputSet, backpropDropOutIfPresent, batchSize, conf, feedForwardMaskArray, getConfig, getEpochCount, getHelper, getIndex, getInput, getInputMiniBatchSize, getListeners, getMaskArray, init, input, layerId, numParams, setCacheMode, setConf, setEpochCount, setIndex, setInput, setInputMiniBatchSize, setListeners, setListeners, setMaskArray, type, updaterDivideByMinibatch
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
activate, allowInputModification, calcL1, calcL2, clearNoiseWeightParams, feedForwardMaskArray, getEpochCount, getHelper, getIndex, getInputMiniBatchSize, getIterationCount, getListeners, getMaskArray, setCacheMode, setEpochCount, setIndex, setInput, setInputMiniBatchSize, setIterationCount, setListeners, setListeners, setMaskArray, type
getConfig, getGradientsViewArray, numParams, params, paramTable, updaterDivideByMinibatch
addListeners, applyConstraints, batchSize, conf, fit, getGradientsViewArray, getOptimizer, getParam, init, input, numParams, numParams, params, paramTable, paramTable, score, setBackpropGradientsViewArray, setConf, setParam, setParams, setParamsViewArray, setParamTable, update, update
public OutputLayer(NeuralNetConfiguration conf)
public OutputLayer(NeuralNetConfiguration conf, INDArray input)
protected INDArray getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
getLabels2d
in class BaseOutputLayer<OutputLayer>
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