Takenori Sato sato-cloudian
sato-cloudian
/ MyCNNIrisExample.java
Last active
December 29, 2015 04:16
MyCNNIrisExample experiments
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.impl.IrisDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; |
sato-cloudian
/ MyCNNMnistExample.java
Last active
December 29, 2015 13:54
MyCNNMnistExample experiments
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Created
December 30, 2015 02:00
MyCNNMnistExample experimentation 2
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
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| Exception in thread "main" java.lang.IllegalArgumentException: Invalid input: expect output columns must be equal to rows 28 x columns 28 x depth 10 but was instead [80, 2250] | |
| at org.deeplearning4j.nn.conf.preprocessor.CnnToFeedForwardPreProcessor.backprop(CnnToFeedForwardPreProcessor.java:111) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.backprop(MultiLayerNetwork.java:1210) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.computeGradientAndScore(MultiLayerNetwork.java:1682) | |
| at org.deeplearning4j.optimize.solvers.BaseOptimizer.gradientAndScore(BaseOptimizer.java:124) | |
| at org.deeplearning4j.optimize.solvers.StochasticGradientDescent.optimize(StochasticGradientDescent.java:56) | |
| at org.deeplearning4j.optimize.Solver.optimize(Solver.java:52) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1452) | |
| at org.deeplearning4j.nn.multilayer.MultiLayerNetwork.fit(MultiLayerNetwork.java:1482) | |
| at org.deeplearning4j.examples.convolution.MyCNNMnistExample.main(MyCNNMnistExam |
sato-cloudian
/ MyCNNMnistExample.java
Last active
December 30, 2015 15:14
MyCNNMnistExample experiment 3
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Created
December 30, 2015 07:32
MyCNNMnistExample experiment 4
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Created
December 30, 2015 09:53
MyCNNMnistExample experimentation 5
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
sato-cloudian
/ MyCNNMnistExample.java
Last active
December 30, 2015 23:43
MyCNNMnistExample experiment 6
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| package org.deeplearning4j.examples.convolution; | |
| import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.GradientNormalization; | |
| import org.deeplearning4j.nn.conf.MultiLayerConfiguration; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.ConvolutionLayer; |
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| WARN [2016-01-26 23:33:12,931] org.deeplearning4j.optimize.solvers.BaseOptimizer: Objective function automatically set to minimize. Set stepFunction in neural net configuration to change default settings. | |
| Exception in thread "main" java.lang.IllegalArgumentException: Shapes do not match: x.shape=[10, 17], y.shape=[10, 549] | |
| at org.nd4j.linalg.api.parallel.tasks.cpu.CPUTaskFactory.getTransformAction(CPUTaskFactory.java:92) | |
| at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.doTransformOp(DefaultOpExecutioner.java:409) | |
| at org.nd4j.linalg.api.ops.executioner.DefaultOpExecutioner.exec(DefaultOpExecutioner.java:62) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2660) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.subi(BaseNDArray.java:2641) | |
| at org.nd4j.linalg.api.ndarray.BaseNDArray.sub(BaseNDArray.java:2419) | |
| at org.deeplearning4j.nn.layers.BaseOutputLayer.getGradientsAndDelta(BaseOutputLayer.java:154) | |
| at org.deeplearning4j.nn.layers.BaseOutputLayer.backpropGradient(BaseOutputLayer.ja |
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| package org.deeplearning4j.examples.convolution; | |
| import org.canova.api.records.reader.RecordReader; | |
| import org.canova.api.split.FileSplit; | |
| import org.canova.api.split.LimitFileSplit; | |
| import org.canova.image.recordreader.ImageRecordReader; | |
| import org.deeplearning4j.datasets.canova.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.datasets.iterator.DataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; |