The ComputationGraph as follows: val conf = new NeuralNetConfiguration.Builder() .seed(12345) .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) .iterations(1) .activation(Activation.LEAKYRELU) .weightInit(WeightInit.XAVIER) .learningRate(0.01) .updater(Updater.NESTEROVS) .mo…

There are multiple things to note here: I guess you didn’t quite finish your post? It appears you are using a very old version of DL4J. Things like .iterations have been removed from the Network configuration a few versions ago. The configuration of your Graph is all wrong. If you really want to h…

thank you for your answer, the version of DL4J is 0.8 ,it exactly old,now i use 1.0.0-beta5,and the configuration of my Graph is wrong in addvertex,I just want to express the multi input model need computation graph to solve, the computation graph need MultiDataSet to fit (like sparkNet.fitMultiDa…

[image] zhou-binbin: now i use 1.0.0-beta5 Beta5 is still quite old. The latest release is beta7. [image] zhou-binbin: It would be better to give me an example. I already linked you to an example where multiple input columns are combined into a single INDArray: Quickstart with Deeplea…

Thank you! my computationgraph built as follows: val conf = new NeuralNetConfiguration.Builder() .activation(Activation.LEAKYRELU) .weightInit(WeightInit.XAVIER) .updater(new Sgd(0.01)) .graphBuilder() .addInputs("ip","other") .addLayer("L1", new EmbeddingLayer.Builder().nIn(ipfeaturesi…

how to structure multidataset format to train ComputationGraph in deeplearning4j?

DL4J

treo July 8, 2020, 7:23am 6

See Deeplearning4j spark running error too large frame - #2 by treo.

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how to structure multidataset format to train ComputationGraph in deeplearning4j?

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