[ANNOUNCE] Apache SINGA (incubating) 1.2.0 released

[Moaz Reyad <mo...@apache.org>]

Dear All,

We are pleased to announce that SINGA (incubating) 1.2.0 is released.

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/en/downloads.html

The downloads page contains ASC signature files and KEYS link with a
description on how to use them to verify the artifacts.

The main features of this release include:

-    Implement autograd (currently support MLP model)
-    Upgrade PySinga to support Python 3
-    Improve the Tensor class with the stride field
-    Upgrade cuDNN from V5 to V7
-    Add VGG, Inception V4, ResNet, and DenseNet for ImageNet classification
-    Create alias for conda packages
-    Complete documentation in Chinese
-    Add instructions for running SINGA on Windows
-    Update the compilation, CI

We look forward to hearing your feedback, suggestions and contributions to
the project.

=====
Disclaimer

Apache SINGA (incubating) is an effort undergoing incubation at The Apache
Software Foundation (ASF), sponsored by Apache Incubator. 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.

On behalf of the SINGA team,
Moaz Reyad