tomthetrainer
tomthetrainer
/ iris.py
Created
October 31, 2017 00:48
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| import numpy | |
| import pandas | |
| from keras.models import Sequential | |
| from keras.layers import Dense | |
| from keras.wrappers.scikit_learn import KerasClassifier | |
| from keras.utils import np_utils | |
| from sklearn.cross_validation import cross_val_score, KFold | |
| from sklearn.preprocessing import LabelEncoder | |
| from sklearn.pipeline import Pipeline |
tomthetrainer
/ iris.py
Created
October 31, 2017 00:45
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| import numpy | |
| import pandas | |
| from keras.models import Sequential | |
| from keras.layers import Dense | |
| from keras.wrappers.scikit_learn import KerasClassifier | |
| from keras.utils import np_utils | |
| from sklearn.cross_validation import cross_val_score, KFold | |
| from sklearn.preprocessing import LabelEncoder | |
| from sklearn.pipeline import Pipeline |
tomthetrainer
/ ImagePipelineExample3.java
Created
October 2, 2017 04:55
DataVec Image Pipeline demo
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| package org.deeplearning4j.examples.dataexamples; | |
| import org.datavec.api.records.reader.RecordReader; | |
| import org.datavec.api.split.FileSplit; | |
| import org.datavec.api.split.InputSplit; | |
| import org.datavec.api.util.ClassPathResource; | |
| import org.datavec.image.loader.BaseImageLoader; | |
| import org.datavec.image.loader.NativeImageLoader; | |
| import org.datavec.image.recordreader.ImageRecordReader; | |
| import org.datavec.image.transform.*; |
tomthetrainer
/ AbeloneFeedForwardNetworkregression.java
Created
August 3, 2017 03:58
Regression example
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| package ai.skymind.training.solutions; | |
| import org.apache.log4j.BasicConfigurator; | |
| import org.datavec.api.records.reader.RecordReader; | |
| import org.datavec.api.records.reader.impl.csv.CSVRecordReader; | |
| import org.datavec.api.split.FileSplit; | |
| import org.datavec.api.util.ClassPathResource; | |
| import org.deeplearning4j.api.storage.StatsStorage; | |
| import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; |
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| package org.deeplearning4j.examples.dataexamples; | |
| import org.datavec.api.records.reader.RecordReader; | |
| import org.datavec.api.records.reader.impl.csv.CSVRecordReader; | |
| import org.datavec.api.split.FileSplit; | |
| import org.datavec.api.util.ClassPathResource; | |
| import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.eval.IEvaluation; | |
| import org.deeplearning4j.eval.RegressionEvaluation; |
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| package ai.skymind.training.demos; | |
| import org.apache.log4j.BasicConfigurator; | |
| import org.datavec.api.util.ClassPathResource; | |
| import org.datavec.image.loader.NativeImageLoader; | |
| import org.deeplearning4j.nn.graph.ComputationGraph; | |
| import org.deeplearning4j.nn.modelimport.keras.trainedmodels.TrainedModels; | |
| import org.deeplearning4j.util.ModelSerializer; | |
| import org.nd4j.linalg.api.ndarray.INDArray; | |
| import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization; |
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| package ai.skymind.training.demos; | |
| import org.apache.log4j.BasicConfigurator; | |
| import org.deeplearning4j.api.storage.StatsStorage; | |
| import org.deeplearning4j.eval.Evaluation; | |
| import org.deeplearning4j.nn.api.OptimizationAlgorithm; | |
| import org.deeplearning4j.nn.conf.NeuralNetConfiguration; | |
| import org.deeplearning4j.nn.conf.Updater; | |
| import org.deeplearning4j.nn.conf.layers.DenseLayer; | |
| import org.deeplearning4j.nn.conf.layers.OutputLayer; |
tomthetrainer
/ gist:d84054e8b402efa39caf9726cbc77dec
Created
June 20, 2017 18:20
Dropout code snippet
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| MultiLayerConfiguration conf = new NeuralNetConfiguration.Builder() | |
| .seed(seed) | |
| .iterations(iterations) | |
| .optimizationAlgo(OptimizationAlgorithm.STOCHASTIC_GRADIENT_DESCENT) | |
| .learningRate(learningRate) | |
| .updater(Updater.NESTEROVS).momentum(0.9) | |
| .regularization(true).l2(1e-4) | |
| .weightInit(WeightInit.XAVIER) | |
| .activation(Activation.TANH) | |
| .list() |
tomthetrainer
/ KerasModelImportInceptionV3
Created
June 9, 2017 11:11
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| package ai.skymind.training.solutions; | |
| import org.apache.log4j.BasicConfigurator; | |
| import org.datavec.api.util.ClassPathResource; | |
| import org.datavec.image.loader.NativeImageLoader; | |
| import org.deeplearning4j.nn.graph.ComputationGraph; | |
| import org.deeplearning4j.nn.modelimport.keras.KerasModelImport; | |
| import org.deeplearning4j.nn.modelimport.keras.trainedmodels.TrainedModels; | |
| import org.nd4j.linalg.api.ndarray.INDArray; |
tomthetrainer
/ VGG16SparkJavaWebApp.java
Created
February 22, 2017 20:31
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| package org.deeplearning4j.VGGwebDemo; | |
| import org.nd4j.linalg.factory.Nd4j; | |
| import org.deeplearning4j.nn.modelimport.keras.trainedmodels.Utils.ImageNetLabels; | |
| import org.datavec.image.loader.NativeImageLoader; | |
| import org.deeplearning4j.nn.graph.ComputationGraph; | |
| import org.deeplearning4j.nn.modelimport.keras.trainedmodels.TrainedModels; | |
| import org.deeplearning4j.util.ModelSerializer; | |
| import org.nd4j.linalg.api.ndarray.INDArray; | |
| import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization; |