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Merge pull request #983 from eclipse/ab_beta7
Update Examples to Beta7
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‎README.md

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@@ -24,7 +24,7 @@ Repository of Deeplearning4J neural net examples:
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- Convolutional Neural Nets
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- Recurrent Neural Nets
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- TSNE
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- Word2Vec & GloVe
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- Word2Vec
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- Anomaly Detection
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- User interface examples.
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‎android/DL4JImageRecognitionDemo/app/build.gradle

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@@ -64,18 +64,18 @@ android {
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implementation 'com.android.support:appcompat-v7:27.1.0'
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implementation 'com.android.support:design:27.1.0'
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implementation (group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta6') {
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implementation (group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta7') {
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exclude group: 'org.bytedeco', module: 'opencv-platform'
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exclude group: 'org.bytedeco', module: 'leptonica-platform'
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exclude group: 'org.bytedeco', module: 'hdf5-platform'
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exclude group: 'org.nd4j', module: 'nd4j-base64'
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}
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-x86"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-x86_64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-x86"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-x86_64"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5'
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm64"

‎android/DL4JIrisClassifierDemo/app/build.gradle

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@@ -66,17 +66,17 @@ android {
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implementation 'com.android.support:design:27.1.0'
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implementation (group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta6') {
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implementation (group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta7') {
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exclude group: 'org.bytedeco', module: 'opencv-platform'
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exclude group: 'org.bytedeco', module: 'leptonica-platform'
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exclude group: 'org.bytedeco', module: 'hdf5-platform'
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exclude group: 'org.nd4j', module: 'nd4j-base64'
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}
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-x86"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-x86_64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-x86"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-x86_64"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5'
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm64"

‎android/DL4JModelTester/app/build.gradle

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@@ -62,16 +62,16 @@ dependencies {
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androidTestImplementation 'androidx.test:runner:1.2.0-alpha05'
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androidTestImplementation 'androidx.test.espresso:espresso-core:3.2.0-alpha05'
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implementation(group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta6') {
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implementation(group: 'org.deeplearning4j', name: 'deeplearning4j-core', version: '1.0.0-beta7') {
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exclude group: 'org.bytedeco', module: 'opencv-platform'
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exclude group: 'org.bytedeco', module: 'leptonica-platform'
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exclude group: 'org.bytedeco', module: 'hdf5-platform'
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exclude group: 'org.nd4j', module: 'nd4j-base64'
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}
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta6', classifier: "android-arm64"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7'
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm"
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implementation group: 'org.nd4j', name: 'nd4j-native', version: '1.0.0-beta7', classifier: "android-arm64"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5'
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm"
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implementation group: 'org.bytedeco', name: 'openblas', version: '0.3.5-1.5', classifier: "android-arm64"

‎android/DL4JModelTester/app/src/main/java/org/deeplearning4java/activity/BaseActivity.java

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@@ -37,7 +37,7 @@
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization;
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import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
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import org.nd4j.linalg.primitives.Pair;
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import org.nd4j.common.primitives.Pair;
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import java.io.IOException;
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import java.util.Arrays;

‎android/DL4JModelTester/app/src/main/java/org/deeplearning4java/model/Dl4jModel.java

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@@ -40,7 +40,7 @@
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization;
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import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
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import org.nd4j.linalg.primitives.Pair;
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import org.nd4j.common.primitives.Pair;
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import org.opencv.core.Mat;
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import java.io.ByteArrayInputStream;

‎datavec-examples/pom.xml

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<parent>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>deeplearning4j-examples-parent</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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</parent>
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<dependencies>
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<dependency>
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<groupId>io.netty</groupId>
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<artifactId>netty-all</artifactId>
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<version>4.1.42.Final</version>
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</dependency>
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<dependency>
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<groupId>org.datavec</groupId>
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<artifactId>datavec-api</artifactId>
@@ -46,6 +52,16 @@
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<groupId>org.datavec</groupId>
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<artifactId>datavec-local</artifactId>
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<version>${datavec.version}</version>
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<exclusions>
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<exclusion>
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<groupId>io.netty</groupId>
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<artifactId>netty-buffer</artifactId>
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</exclusion>
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<exclusion>
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<groupId>io.netty</groupId>
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<artifactId>netty-common</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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<dependency>
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<groupId>org.deeplearning4j.examples</groupId>
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<groupId>org.apache.spark</groupId>
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<artifactId>spark-core_${scala.binary.version}</artifactId>
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<version>${spark.version}</version>
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</dependency>
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<dependency>
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<groupId>io.netty</groupId>
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<artifactId>netty-all</artifactId>
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<version>4.1.42.Final</version>
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<exclusions>
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<exclusion>
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<groupId>io.netty</groupId>
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<artifactId>netty</artifactId>
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</exclusion>
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</exclusions>
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</dependency>
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</dependencies>
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‎dl4j-cuda-specific-examples/pom.xml

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<parent>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>deeplearning4j-examples-parent</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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</parent>
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<name>DeepLearning4j CUDA special examples</name>
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<dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>org.nd4j</groupId>
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<artifactId>nd4j-cuda-9.2-platform</artifactId>
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<version>${nd4j.version}</version>
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</dependency>
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<dependency>
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<groupId>org.nd4j</groupId>
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<artifactId>nd4j-cuda-10.0-platform</artifactId>

‎dl4j-cuda-specific-examples/src/main/java/org/deeplearning4j/examples/multigpu/vgg16/dataHelpers/FlowerDataSetIterator.java

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import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import org.nd4j.linalg.dataset.api.preprocessor.VGG16ImagePreProcessor;
29-
import org.nd4j.util.ArchiveUtils;
29+
import org.nd4j.common.util.ArchiveUtils;
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import org.slf4j.Logger;
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import java.io.File;

‎dl4j-examples/build.gradle

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buildscript {
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ext {
29-
dl4j_version = "1.0.0-beta6"
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dl4j_version = "1.0.0-beta7"
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kotlin_version = "1.3.30"
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}
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repositories {

‎dl4j-examples/pom.xml

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<parent>
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<groupId>org.deeplearning4j</groupId>
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<artifactId>deeplearning4j-examples-parent</artifactId>
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<version>1.0.0-beta6</version>
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<version>1.0.0-beta7</version>
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</parent>
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<name>DeepLearning4j Examples</name>
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<artifactId>nd4j-native-platform</artifactId>
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<version>${nd4j.version}</version>
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</dependency>
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<dependency>
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<groupId>org.nd4j</groupId>
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<artifactId>nd4j-cuda-9.2-platform</artifactId>
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<version>${nd4j.version}</version>
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</dependency>
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<dependency>
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<groupId>org.nd4j</groupId>
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<artifactId>nd4j-cuda-10.0-platform</artifactId>

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/arbiter/BasicHyperparameterOptimizationExample.java

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package org.deeplearning4j.examples.arbiter;
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import org.deeplearning4j.api.storage.StatsStorage;
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import org.deeplearning4j.arbiter.MultiLayerSpace;
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import org.deeplearning4j.arbiter.conf.updater.SgdSpace;
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import org.deeplearning4j.arbiter.layers.DenseLayerSpace;
@@ -41,11 +40,12 @@
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import org.deeplearning4j.arbiter.scoring.impl.EvaluationScoreFunction;
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import org.deeplearning4j.arbiter.task.MultiLayerNetworkTaskCreator;
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import org.deeplearning4j.arbiter.ui.listener.ArbiterStatusListener;
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import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.datasets.iterator.impl.MnistDataSetIterator;
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import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
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import org.deeplearning4j.nn.weights.WeightInit;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.storage.FileStatsStorage;
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import org.deeplearning4j.ui.model.storage.FileStatsStorage;
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import org.nd4j.evaluation.classification.Evaluation.Metric;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/convolution/AnimalsClassification.java

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import org.datavec.image.transform.ImageTransform;
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import org.datavec.image.transform.PipelineImageTransform;
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import org.datavec.image.transform.WarpImageTransform;
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import org.deeplearning4j.api.storage.StatsStorage;
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import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
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import org.deeplearning4j.examples.download.DownloaderUtility;
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import org.deeplearning4j.nn.conf.GradientNormalization;
@@ -45,16 +45,16 @@
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import org.deeplearning4j.optimize.listeners.EvaluativeListener;
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import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.stats.StatsListener;
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import org.deeplearning4j.ui.storage.FileStatsStorage;
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import org.deeplearning4j.ui.model.stats.StatsListener;
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import org.deeplearning4j.ui.model.storage.FileStatsStorage;
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import org.nd4j.common.primitives.Pair;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.dataset.DataSet;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization;
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import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
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import org.nd4j.linalg.learning.config.AdaDelta;
5657
import org.nd4j.linalg.lossfunctions.LossFunctions;
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import org.nd4j.linalg.primitives.Pair;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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‎dl4j-examples/src/main/java/org/deeplearning4j/examples/convolution/Cifar.java

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package org.deeplearning4j.examples.convolution;
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import org.datavec.image.loader.CifarLoader;
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import org.deeplearning4j.api.storage.StatsStorage;
20+
import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.datasets.fetchers.DataSetType;
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import org.deeplearning4j.datasets.iterator.impl.Cifar10DataSetIterator;
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import org.deeplearning4j.nn.api.OptimizationAlgorithm;
@@ -34,8 +34,8 @@
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import org.deeplearning4j.optimize.listeners.EvaluativeListener;
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import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.stats.StatsListener;
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import org.deeplearning4j.ui.storage.FileStatsStorage;
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import org.deeplearning4j.ui.model.stats.StatsListener;
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import org.deeplearning4j.ui.model.storage.FileStatsStorage;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.learning.config.AdaDelta;
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import org.nd4j.linalg.lossfunctions.LossFunctions;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/convolution/captcharecognition/MultiDigitNumberRecognition.java

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package org.deeplearning4j.examples.convolution.captcharecognition;
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20+
import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.nn.conf.ComputationGraphConfiguration;
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import org.deeplearning4j.nn.conf.GradientNormalization;
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import org.deeplearning4j.nn.conf.NeuralNetConfiguration;
@@ -29,8 +29,8 @@
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import org.deeplearning4j.optimize.listeners.EvaluativeListener;
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import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.stats.StatsListener;
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import org.deeplearning4j.ui.storage.FileStatsStorage;
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import org.deeplearning4j.ui.model.stats.StatsListener;
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import org.deeplearning4j.ui.model.storage.FileStatsStorage;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.dataset.api.MultiDataSet;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/denseNet/Main.java

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import org.datavec.image.transform.ImageTransform;
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import org.datavec.image.transform.PipelineImageTransform;
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import org.datavec.image.transform.ShowImageTransform;
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import org.deeplearning4j.api.storage.StatsStorage;
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import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
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import org.deeplearning4j.examples.denseNet.imageUtils.BlurTransform;
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import org.deeplearning4j.examples.denseNet.imageUtils.NoiseTransform;
@@ -37,13 +37,13 @@
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import org.deeplearning4j.optimize.listeners.EvaluativeListener;
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import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.stats.StatsListener;
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import org.deeplearning4j.ui.storage.InMemoryStatsStorage;
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import org.deeplearning4j.ui.model.stats.StatsListener;
41+
import org.deeplearning4j.ui.model.storage.InMemoryStatsStorage;
42+
import org.nd4j.common.primitives.Pair;
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import org.nd4j.evaluation.classification.Evaluation;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import org.nd4j.linalg.dataset.api.preprocessor.DataNormalization;
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import org.nd4j.linalg.dataset.api.preprocessor.ImagePreProcessingScaler;
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import org.nd4j.linalg.primitives.Pair;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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‎dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/anomalydetection/VaeMNISTAnomaly.java

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import org.deeplearning4j.nn.weights.WeightInit;
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import org.deeplearning4j.nn.workspace.LayerWorkspaceMgr;
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import org.deeplearning4j.optimize.listeners.ScoreIterationListener;
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import org.nd4j.common.primitives.Pair;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.dataset.api.DataSet;
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import org.nd4j.linalg.dataset.api.iterator.DataSetIterator;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.linalg.learning.config.Adam;
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import org.nd4j.linalg.primitives.Pair;
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import java.io.IOException;
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import java.util.*;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/classification/detectgender/GenderRecordReader.java

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import org.datavec.api.split.InputStreamInputSplit;
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import org.datavec.api.writable.DoubleWritable;
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import org.datavec.api.writable.Writable;
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import org.nd4j.linalg.primitives.Pair;
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import org.nd4j.common.primitives.Pair;
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import java.io.File;
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import java.io.IOException;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/feedforward/classification/detectgender/PredictGenderTrain.java

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*/
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import org.datavec.api.split.FileSplit;
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import org.deeplearning4j.api.storage.StatsStorage;
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import org.deeplearning4j.core.storage.StatsStorage;
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import org.deeplearning4j.datasets.datavec.RecordReaderDataSetIterator;
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import org.deeplearning4j.examples.download.DownloaderUtility;
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import org.deeplearning4j.nn.conf.MultiLayerConfiguration;
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import org.deeplearning4j.nn.multilayer.MultiLayerNetwork;
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import org.deeplearning4j.nn.weights.WeightInit;
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import org.deeplearning4j.ui.api.UIServer;
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import org.deeplearning4j.ui.stats.StatsListener;
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import org.deeplearning4j.ui.storage.FileStatsStorage;
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import org.deeplearning4j.ui.model.stats.StatsListener;
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import org.deeplearning4j.ui.model.storage.FileStatsStorage;
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import org.nd4j.evaluation.classification.Evaluation;
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import org.nd4j.linalg.activations.Activation;
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import org.nd4j.linalg.api.ndarray.INDArray;

‎dl4j-examples/src/main/java/org/deeplearning4j/examples/misc/activationfunctions/CustomActivation.java

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package org.deeplearning4j.examples.misc.activationfunctions;
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import org.nd4j.common.primitives.Pair;
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import org.nd4j.linalg.activations.BaseActivationFunction;
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import org.nd4j.linalg.api.ndarray.INDArray;
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import org.nd4j.linalg.api.ops.impl.transforms.strict.Tanh;
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import org.nd4j.linalg.api.ops.impl.transforms.strict.TanhDerivative;
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import org.nd4j.linalg.factory.Nd4j;
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import org.nd4j.linalg.primitives.Pair;
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/**
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* This is an example of how to implement a custom activation function that does not take any learnable parameters

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