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package ai.skymind.training.solutions; | |
import org.datavec.api.util.ClassPathResource; | |
import org.datavec.image.loader.NativeImageLoader; | |
import org.deeplearning4j.nn.conf.ComputationGraphConfiguration; | |
import org.deeplearning4j.nn.graph.ComputationGraph; | |
import org.deeplearning4j.nn.modelimport.keras.KerasModelImport; | |
import org.deeplearning4j.nn.modelimport.keras.trainedmodels.TrainedModels; | |
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; | |
import org.nd4j.linalg.api.ndarray.INDArray; |
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# -*- coding: utf-8 -*- | |
'''Inception V3 model for Keras. | |
Note that the ImageNet weights provided are from a model that had not fully converged. | |
Inception v3 should be able to reach 6.9% top-5 error, but our model | |
only gets to 7.8% (same as a fully-converged ResNet 50). | |
For comparison, VGG16 only gets to 9.9%, quite a bit worse. | |
Also, do note that the input image format for this model is different than for | |
other models (299x299 instead of 224x224), and that the input preprocessing function |
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package skymind.dsx; | |
/** | |
* Created by tomhanlon on 12/29/17. | |
*/ | |
import org.apache.log4j.BasicConfigurator; | |
import org.deeplearning4j.nn.modelimport.keras.KerasModelImport; | |
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; |
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" | |
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> | |
<modelVersion>4.0.0</modelVersion> | |
<groupId>tech.dubs</groupId> | |
<artifactId>dl4j-quickstart</artifactId> | |
<version>1.0-SNAPSHOT</version> | |
<packaging>jar</packaging> | |
<name>dl4j-quickstart</name> |
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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.model_selection import cross_val_score | |
from sklearn.model_selection import KFold | |
from sklearn.preprocessing import LabelEncoder |
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from math import sqrt | |
from numpy import concatenate | |
#from matplotlib import pyplot | |
from pandas import read_csv | |
from pandas import DataFrame | |
from pandas import concat | |
from sklearn.preprocessing import MinMaxScaler | |
from sklearn.preprocessing import LabelEncoder | |
from sklearn.metrics import mean_squared_error | |
from keras.models import Sequential |
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package ai.skymind.training.demos; | |
import org.apache.log4j.BasicConfigurator; | |
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; | |
import org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor; |
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package ai.skymind.training.labs; | |
import org.apache.log4j.BasicConfigurator; | |
import org.deeplearning4j.api.storage.StatsStorage; | |
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; | |
import org.deeplearning4j.nn.multilayer.MultiLayerNetwork; |
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package tech.dubs; | |
import org.apache.spark.SparkConf; | |
import org.apache.spark.api.java.JavaRDD; | |
import org.apache.spark.api.java.JavaSparkContext; | |
import org.datavec.api.records.reader.RecordReader; | |
import org.datavec.api.records.reader.impl.csv.CSVRecordReader; | |
import org.datavec.api.split.FileSplit; | |
import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator; | |
import org.deeplearning4j.eval.Evaluation; |
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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.datasets.datavec.RecordReaderDataSetIterator; | |
import org.deeplearning4j.eval.Evaluation; | |
import org.deeplearning4j.nn.api.OptimizationAlgorithm; |
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