[ANNOUNCE] Apache SINGA (incubating) 0.3.0 release

[Wang Wei <wa...@comp.nus.edu.sg>]

 The Apache SINGA (incubating) team is pleased to announce the release of
SINGA 0.3.0.

SINGA is a general distributed deep learning platform for training big deep
learning models over large datasets. It is designed with an intuitive
programming model based on the layer abstraction. SINGA supports a wide
variety of popular deep learning models.

The release is available at:
http://singa.apache.org/downloads.html

The major features of this release include:

   - Training on GPU cluster enables training of deep learning models over
   a GPU cluster.
   - Improve Python wrapper.
   - New SGD updaters are added, including Adam, AdaDelta and AdaMax.
   - Remove dependency on some libraries for single node training.
   - Enable heterogeneous training with CPU and GPU.
   - Support cuDNN V4.

We look forward to hearing your feedbacks, suggestions, and contributions
to the project (http://singa.apache.org/develop/schedule.html).

Regards,
The Apache SINGA (incubating) team

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*Disclaimer*

Apache SINGA is an effort undergoing incubation at The Apache Software
Foundation (ASF), sponsored by the name of Apache Incubator PMC. Incubation
is required of all newly accepted projects until a further review indicates
that the infrastructure, communications, and decision making process have
stabilized in a manner consistent with other successful ASF projects. While
incubation status is not necessarily a reflection of the completeness or
stability of the code, it does indicate that the project has yet to be
fully endorsed by the ASF.