wekaDeeplearning4j-v1.5.0

Changelog

• Update Deeplearning4j to 1.0.0-beta
• Remove GoogLeNet (support was dropped in Deeplearning4j)
• Fix de/serialization
• Rewrite buildscript in python
• Replace kernselSizeX/Y, strideX/Y, paddingX/Y with row/column
• Add Dl4jMlpFilter class which uses a serialized Dl4jMlpClassifier as feature transformation
• Add WeightNoise
• Add FlatToRelational filter
• Add Dropout implementations
• Add Schedules for parameters
• Add more Distribution implementaitons
• Add LocalResponseNormalizationLayer
• Add DropoutLayer
• Add iterator for ARFF datasets with relational sequence attributes: RelationalInstanceIterator
• Add CUDA 9.0 and 9.1 support
• Add installation scripts for cuda libraries for linux/macosx and windows

Package Structure

Starting with version 1.5.0, the GPU libraries are to be installed via the install-cuda-libs scripts. Further instructions can be found in the documentation.

SHA256 sums

• wekaDeeplearning4j-1.5.0.zip
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• wekaDeeplearning4j-cuda-8.0-1.5.0-linux-x86_64.zip
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• wekaDeeplearning4j-cuda-8.0-1.5.0-macosx-x86_64.zip
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• wekaDeeplearning4j-cuda-8.0-1.5.0-windows-x86_64.zip
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• wekaDeeplearning4j-cuda-9.0-1.5.0-linux-x86_64.zip
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• wekaDeeplearning4j-cuda-9.0-1.5.0-windows-x86_64.zip
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• wekaDeeplearning4j-cuda-9.1-1.5.0-linux-x86_64.zip
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• wekaDeeplearning4j-cuda-9.1-1.5.0-macosx-x86_64.zip
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• wekaDeeplearning4j-cuda-9.1-1.5.0-windows-x86_64.zip
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