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dl4j-distributed-training-examples
tensorflow-keras-import-examples Expand file tree Collapse file tree 8 files changed +50
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<description >Loading raw data and processing it before training</description >
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j .backend>nd4j-native</nd4j .backend>
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<description >A set of examples introducing distributed training with the DL4J framework</description >
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j .backend>nd4j-native</nd4j .backend>
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<description >A set of examples introducing the DL4J framework</description >
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j .backend>nd4j-native</nd4j .backend>
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<repositories >
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+ <repository >
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+ <id >orgdeeplearning4j-1137</id >
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+ <url >https://oss.sonatype.org/content/repositories/orgdeeplearning4j-1137</url >
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+ <releases >
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+ <enabled >true</enabled >
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+ </releases >
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+ </repository >
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<repository >
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<id >sonatype-nexus-snapshots</id >
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<name >Sonatype Nexus Snapshots</name >
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<!-- Properties Section. Change ND4J versions here, if required -->
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<logback .version>1.2.3</logback .version>
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<java .version>1.8</java .version>
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<maven-shade-plugin .version>2.4.3</maven-shade-plugin .version>
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<description >Working with NDArrays</description >
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<repositories >
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+ <repository >
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+ <id >orgdeeplearning4j-1137</id >
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+ <url >https://oss.sonatype.org/content/repositories/orgdeeplearning4j-1137</url >
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+ <releases >
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+ <enabled >true</enabled >
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+ </releases >
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+ </repository >
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+
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<repository >
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<id >sonatype-nexus-snapshots</id >
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<name >Sonatype Nexus Snapshots</name >
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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<nd4j .backend>nd4j-native</nd4j .backend>
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<repositories >
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+
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+ <repository >
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+ <id >orgdeeplearning4j-1137</id >
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+ <url >https://oss.sonatype.org/content/repositories/orgdeeplearning4j-1137</url >
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+ <releases >
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+ <enabled >true</enabled >
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+ </releases >
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+ </repository >
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+
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<repository >
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<id >sonatype-nexus-snapshots</id >
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<name >Sonatype Nexus Snapshots</name >
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</properties >
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<repositories >
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+ <repository >
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+ <id >orgdeeplearning4j-1137</id >
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+ <url >https://oss.sonatype.org/content/repositories/orgdeeplearning4j-1137</url >
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+ <releases >
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+ <enabled >true</enabled >
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+ </releases >
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+ </repository >
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+
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+
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<repository >
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<id >sonatype-nexus-snapshots</id >
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<name >Sonatype Nexus Snapshots</name >
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<description >Loading models trained in keras or tensorflow</description >
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<properties >
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- <dl4j-master .version>1.0.0-SNAPSHOT </dl4j-master .version>
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+ <dl4j-master .version>1.0.0-M1 </dl4j-master .version>
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<!-- Change the nd4j.backend property to nd4j-cuda-X-platform to use CUDA GPUs -->
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<nd4j .backend>nd4j-native</nd4j .backend>
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<!-- <nd4j.backend>nd4j-cuda-10.2-platform</nd4j.backend> -->
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</properties >
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<repositories >
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+ <repository >
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+ <id >orgdeeplearning4j-1137</id >
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+ <url >https://oss.sonatype.org/content/repositories/orgdeeplearning4j-1137</url >
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+ <releases >
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+ <enabled >true</enabled >
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+ </releases >
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+ </repository >
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+
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<repository >
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<id >OSS Sonatype</id >
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<url >https://oss.sonatype.org/content/repositories/snapshots/</url >
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