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Apr 6, 2018
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Highlights and DL4J known issues #25

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Highlights and DL4J known issues
AlexDBlack Apr 6, 2018
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Update releasenotes.md
AlexDBlack Apr 6, 2018
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20 changes: 15 additions & 5 deletions releasenotes.md
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## Highlights - 1.0.0-alpha Release

[TO DO]
* SameDiff
* DL4J new layers
* Keras 2.0 import support
* CUDA 9.0 and 9.1 support (+CuDNN)
* ND4J: Added SameDiff - Java automatic differentiation library (alpha release) with Tensorflow import (technology preview) and hundreds of new operations
* ND4J: Added CUDA 9.0 and 9.1 support (with cuDNN), dropped support for CUDA 7.5, continued support for CUDA 8.0
* ND4J: Native binaries (nd4j-native on Maven Central) now ship with AVX/AVX2/AVX-512 support (Windows/Linux)
* DL4J: Large number of new layers and API improvements
* DL4J: Keras 2.0 import support



## <a name="onezerozeroalpha-dl4j">Deeplearning4J</a>
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- Removed deeplearning4j-ui-remote-iterationlisteners module and obsolete RemoteConvolutionalIterationListener ([Link](https://github.com/deeplearning4j/deeplearning4j/pull/4772))


### Deeplearning4J: 1.0.0-alpha Known Issues

- Performance on some networks types may be reduced on CUDA compared to 0.9.1 (with workspaces configured). This will be addressed in the next release
- Some issues have been noted with FP16 support on CUDA ([Link](https://github.com/deeplearning4j/deeplearning4j/issues/4897))


## <a name="onezerozeroalpha-dl4jkeras">Deeplearing4J: Keras Import</a>

- Keras 2 support, keeping backward compatibility for keras 1
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## <a name="onezerozeroalpha-nd4s">ND4S</a>
- Scala 2.12 support




# <a name="zeronineone">Release Notes for Version 0.9.1</a>

**Deeplearning4J**
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