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From Wang Wei <>
Subject [ANNOUNCE] Apache SINGA (incubating) 1.1.0 release
Date Mon, 13 Feb 2017 05:10:17 GMT
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:

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
   - Add Concat and Slice layers
   - Extend CrossEntropyLoss to accept instance with multiple labels
   - Add 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:

We look forward to hearing your feedbacks, suggestions, and contributions
to the project (

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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