Created
August 9, 2017 16:47
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| ComputationGraphConfiguration conf = new NeuralNetConfiguration.Builder() | |
| .updater(Updater.ADAM).adamMeanDecay(0.9).adamVarDecay(0.999) | |
| .weightInit(WeightInit.XAVIER) | |
| .learningRate(0.01) | |
| .regularization(true).l2(0.01).l2Bias(0.01) | |
| .graphBuilder() | |
| .addInputs("in") | |
| .addLayer("dense0", new DenseLayer.Builder().nIn(inputSize).nOut(layerSize) | |
| .activation(Activation.TANH) | |
| .dropOut(0) | |
| .build(), "in") | |
| .addLayer("blstm1", new GravesBidirectionalLSTM.Builder() | |
| .nIn(layerSize).nOut(layerSize) | |
| .dropOut(dropout ? 0.5 : 0) | |
| .activation(Activation.TANH) | |
| .build(), "dense0") | |
| .addLayer("blstm2", new GravesBidirectionalLSTM.Builder() | |
| .nIn(layerSize).nOut(layerSize) | |
| .dropOut(dropout ? 0.5 : 0) | |
| .activation(Activation.TANH) | |
| .build(), "blstm1") | |
| .addLayer("poolMax", new GlobalPoolingLayer.Builder(PoolingType.MAX).build(), "blstm2") | |
| .addLayer("poolAvg", new GlobalPoolingLayer.Builder(PoolingType.AVG).build(), "blstm2") | |
| .addLayer("dense", new DenseLayer.Builder() | |
| .nIn(2 * layerSize).nOut(layerSize) | |
| .weightInit(WeightInit.XAVIER) | |
| .activation(Activation.TANH) | |
| .dropOut(dropout ? 0.5 : 0) | |
| .build(), "poolMax", "poolAvg") | |
| .addLayer("out", new OutputLayer.Builder() | |
| .nIn(layerSize).nOut(1) | |
| .activation(Activation.IDENTITY) | |
| .lossFunction(LossFunctions.LossFunction.MEAN_ABSOLUTE_ERROR) | |
| .build(), "dense") | |
| .setInputTypes(InputType.recurrent(inputSize)) | |
| .setOutputs("out") |
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