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EN 1.0.0-M2
Deeplearning4j Suite Overview
Release Notes
1.0.0-M2
1.0.0-M1.1
1.0.0-M1
1.0.0-beta7
1.0.0-beta6
1.0.0-beta5
1.0.0-beta4
1.0.0-beta3
1.0.0-beta2
1.0.0-beta
1.0.0-alpha
0.9.1
0.9.0
0.8.0
0.7.2
0.7.1
0.7.0
0.6.0
0.5.0
0.4.0
1.00-M2.2
Multi-Project
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Deeplearning4j
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datavec
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Nd4j
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Samediff
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Libnd4j
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Python4j
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Spark
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codegen
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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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1.00-M2.2
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