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
Export as PDF
Copy link