0.4.0
    Initial multi-GPU support viable for standalone and Spark.
    Refactored the Spark API significantly
    Added CuDNN wrapper
    Performance improvements for ND4J
    Introducing DataVec: Lots of new functionality for transforming, preprocessing, cleaning data. (This replaces Canova)
    New DataSetIterators for feeding neural nets with existing data: ExistingDataSetIterator, Floats(Double)DataSetIterator, IteratorDataSetIterator
    New learning algorithms for word2vec and paravec: CBOW and PV-DM respectively
    New native ops for better performance: DropOut, DropOutInverted, CompareAndSet, ReplaceNaNs
    Shadow asynchronous datasets prefetch enabled by default for both MultiLayerNetwork and ComputationGraph
    Better memory handling with JVM GC and CUDA backend, resulting in significantly lower memory footprint
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