[ANNOUNCE] Apache SINGA (incubating) 1.1.0 release

[Wang Wei <wa...@apache.org>]

The Apache SINGA (incubating) team is pleased to announce the release of
SINGA 1.1.0.

SINGA is a general distributed deep learning platform for training big deep
learning models over large datasets.

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

Features implemented in this release include,

   - Create Docker images (CPU and GPU versions)
   - Create Amazon AMI for SINGA (CPU version)
   - Integrate with Jenkins for automatically generating Wheel and Debian
   packages (for installation), and updating the website.
   - Enhance the FeedFowardNet, e.g., multiple inputs and verbose mode for
   debugging
   - Add Concat and Slice layers
   - Extend CrossEntropyLoss to accept instance with multiple labels
   - Add image_tool.py with image augmentation methods
   - Support model loading and saving via the Snapshot API
   - Compile SINGA source on Windows
   - Compile mandatory dependent libraries together with SINGA code
   - Enable Java binding (basic) for SINGA
   - Add version ID in checkpointing files
   - Add Rafiki toolkit for providing RESTFul APIs
   - Add examples pretrained from Caffe, including GoogleNet


See the release notes for more details:
http://singa.apache.org/en/releases/RELEASE_NOTES_1.1.0.html

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

Regards,
The Apache SINGA (incubating) team

=====

*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.