public class OutputLayer extends BaseOutputLayer<OutputLayer>
Layer.TrainingMode, Layer.Type
inputMaskArray, inputMaskArrayState, labels
gradient, gradientsFlattened, gradientViews, optimizer, params, paramsFlattened, score, weightNoiseParams
cacheMode, conf, dropoutApplied, dropoutMask, epochCount, index, input, iterationCount, maskArray, maskState, preOutput, trainingListeners
Constructor and Description |
---|
OutputLayer(NeuralNetConfiguration conf) |
OutputLayer(NeuralNetConfiguration conf,
org.nd4j.linalg.api.ndarray.INDArray input) |
Modifier and Type | Method and Description |
---|---|
protected org.nd4j.linalg.api.ndarray.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
accumulateScore, activate, calcL1, calcL2, clearNoiseWeightParams, clone, fit, getGradientsViewArray, getOptimizer, getParam, getParamWithNoise, initParams, layerConf, numParams, params, paramTable, paramTable, preOutput, score, setBackpropGradientsViewArray, setParam, setParams, setParams, setParamsViewArray, setParamTable, toString, transpose, update, update
addListeners, applyConstraints, applyDropOutIfNecessary, assertInputSet, batchSize, conf, feedForwardMaskArray, getIndex, getInput, getInputMiniBatchSize, getListeners, getMaskArray, init, input, layerId, numParams, setCacheMode, setConf, setIndex, setInput, setInputMiniBatchSize, setListeners, setListeners, setMaskArray, type, validateInput
equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
activate, calcL1, calcL2, clearNoiseWeightParams, clone, feedForwardMaskArray, getEpochCount, getIndex, getInputMiniBatchSize, getIterationCount, getListeners, getMaskArray, setCacheMode, setEpochCount, setIndex, setInput, setInputMiniBatchSize, setIterationCount, setListeners, setListeners, setMaskArray, transpose, type
accumulateScore, addListeners, applyConstraints, batchSize, conf, fit, getGradientsViewArray, getOptimizer, getParam, init, initParams, input, numParams, numParams, params, paramTable, paramTable, score, setBackpropGradientsViewArray, setConf, setParam, setParams, setParamsViewArray, setParamTable, update, update, validateInput
public OutputLayer(NeuralNetConfiguration conf)
public OutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)
protected org.nd4j.linalg.api.ndarray.INDArray getLabels2d(LayerWorkspaceMgr workspaceMgr, ArrayType arrayType)
getLabels2d
in class BaseOutputLayer<OutputLayer>
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