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From Wang Wei <wang...@apache.org>
Subject [ANNOUNCE] Apache SINGA (incubating) 0.3.0 release
Date Wed, 20 Apr 2016 05:32:14 GMT
 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:

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).

The Apache SINGA (incubating) team



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.

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