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
Last modified 3mo ago
Export as PDF
Copy link