public class OutputLayer extends BaseOutputLayer<OutputLayer>
Layer.TrainingMode, Layer.TypeinputMaskArray, inputMaskArrayState, labelsconf, dropoutApplied, dropoutMask, gradient, gradientsFlattened, gradientViews, index, input, iterationListeners, maskArray, maskState, optimizer, params, paramsFlattened, score| Constructor and Description |
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OutputLayer(NeuralNetConfiguration conf) |
OutputLayer(NeuralNetConfiguration conf,
org.nd4j.linalg.api.ndarray.INDArray input) |
activate, activate, activate, applyMask, backpropGradient, clear, computeGradientAndScore, computeScore, computeScoreForExamples, f1Score, f1Score, fit, fit, fit, fit, fit, getLabels, getLabels2d, gradient, gradientAndScore, isPretrainLayer, iterate, labelProbabilities, numLabels, output, output, output, predict, predict, preOutput2d, setLabels, setScoreWithZaccumulateScore, activate, activate, activate, activationMean, applyDropOutIfNecessary, applyLearningRateScoreDecay, batchSize, calcGradient, calcL1, calcL2, clone, conf, createGradient, derivativeActivation, error, feedForwardMaskArray, fit, getIndex, getInput, getInputMiniBatchSize, getListeners, getMaskArray, getOptimizer, getParam, init, initParams, input, layerConf, layerNameAndIndex, merge, numParams, numParams, params, paramTable, paramTable, preOutput, preOutput, preOutput, preOutput, score, setBackpropGradientsViewArray, setConf, setIndex, setInput, setInputMiniBatchSize, setListeners, setListeners, setMaskArray, setParam, setParams, setParams, setParamsViewArray, setParamTable, toString, transpose, type, update, update, validateInputequals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, waitactivate, activate, activate, activationMean, calcGradient, calcL1, calcL2, clone, derivativeActivation, error, feedForwardMaskArray, getIndex, getInputMiniBatchSize, getListeners, getMaskArray, merge, preOutput, preOutput, preOutput, setIndex, setInput, setInputMiniBatchSize, setListeners, setListeners, setMaskArray, transpose, typeaccumulateScore, applyLearningRateScoreDecay, batchSize, conf, fit, getOptimizer, getParam, init, initParams, input, numParams, numParams, params, paramTable, paramTable, score, setBackpropGradientsViewArray, setConf, setParam, setParams, setParamsViewArray, setParamTable, update, update, validateInputpublic OutputLayer(NeuralNetConfiguration conf)
public OutputLayer(NeuralNetConfiguration conf, org.nd4j.linalg.api.ndarray.INDArray input)