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