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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