public class OutputLayer extends BaseOutputLayer<OutputLayer>
Layer.TrainingMode, Layer.TypeinputMaskArray, inputMaskArrayState, labelsgradient, gradientsFlattened, gradientViews, optimizer, params, paramsFlattened, score, weightNoiseParamscacheMode, conf, dataType, dropoutApplied, epochCount, index, input, inputModificationAllowed, iterationCount, maskArray, maskState, preOutput, trainingListeners| Constructor and Description |
|---|
OutputLayer(NeuralNetConfiguration conf,
org.nd4j.linalg.api.buffer.DataType dataType) |
| 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, needsLabels, numLabels, predict, predict, preOutput2d, setLabels, setScoreWithZactivate, calcRegularizationScore, clearNoiseWeightParams, clone, fit, getGradientsViewArray, getOptimizer, getParam, getParamWithNoise, hasLayerNorm, layerConf, numParams, params, paramTable, paramTable, preOutput, preOutputWithPreNorm, score, setBackpropGradientsViewArray, setParam, setParams, setParams, setParamsViewArray, setParamTable, toString, update, updateaddListeners, 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, updaterDivideByMinibatchequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitactivate, allowInputModification, calcRegularizationScore, clearNoiseWeightParams, feedForwardMaskArray, getEpochCount, getHelper, getIndex, getInputMiniBatchSize, getIterationCount, getListeners, getMaskArray, setCacheMode, setEpochCount, setIndex, setInput, setInputMiniBatchSize, setIterationCount, setListeners, setListeners, setMaskArray, typegetConfig, getGradientsViewArray, numParams, params, paramTable, updaterDivideByMinibatchaddListeners, applyConstraints, batchSize, conf, fit, getGradientsViewArray, getOptimizer, getParam, init, input, numParams, numParams, params, paramTable, paramTable, score, setBackpropGradientsViewArray, setConf, setParam, setParams, setParamsViewArray, setParamTable, update, updatepublic OutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.buffer.DataType dataType)
protected INDArray getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
getLabels2d in class BaseOutputLayer<OutputLayer>Copyright © 2019. All rights reserved.