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From build...@apache.org
Subject svn commit: r977472 - in /websites/staging/singa/trunk/content: ./ downloads.html
Date Mon, 11 Jan 2016 11:56:29 GMT
Author: buildbot
Date: Mon Jan 11 11:56:28 2016
New Revision: 977472

Log:
Staging update by buildbot for singa

Modified:
    websites/staging/singa/trunk/content/   (props changed)
    websites/staging/singa/trunk/content/downloads.html

Propchange: websites/staging/singa/trunk/content/
------------------------------------------------------------------------------
--- cms:source-revision (original)
+++ cms:source-revision Mon Jan 11 11:56:28 2016
@@ -1 +1 @@
-1724001
+1724011

Modified: websites/staging/singa/trunk/content/downloads.html
==============================================================================
--- websites/staging/singa/trunk/content/downloads.html (original)
+++ websites/staging/singa/trunk/content/downloads.html Mon Jan 11 11:56:28 2016
@@ -322,31 +322,19 @@
 <ul>
   
 <li>Latest code: please clone the latest code from <a class="externalLink" href="https://github.com/apache/incubator-singa">Github</a></li>
-  
-<li>v0.2.0-RC1 (7 January 2016):
-  
-<ul>
-    
-<li><a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz">Apache
SINGA 0.2.0</a>  <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.md5">[MD5]</a>
 <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.sha256">[SHA256]</a>
 <a class="externalLink" href="https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/KEYS">[KEYS]</a></li>
-    
-<li><a href="releases/RELEASE_NOTES_0.2.0.html">Release Notes 0.2.0</a></li>
-    
-<li>New features and major updates,
-    
-<ul>
-      
-<li><a href="docs/gpu.html">Training on GPU</a> enables training of complex
models on a single node with multiple GPU cards.</li>
-      
-<li><a href="docs/hybrid.html">Hybrid neural net partitioning</a> supports
data and model parallelism at the same time.</li>
-      
-<li><a href="docs/python.html">Python wrapper</a> makes it easy to configure
the job, including neural net and SGD algorithm.</li>
-      
-<li><a href="docs/rnn.html">RNN model and BPTT algorithm</a> are implemented
to support applications based on RNN models, e.g., GRU.</li>
-      
-<li><a href="docs/distributed-training.html">Cloud software integration</a>
includes Mesos, Docker and HDFS.</li>
-    </ul></li>
-  </ul></li>
 </ul>
+<!-- * v0.2.0-RC1 (7 January 2016):
+    * [Apache SINGA 0.2.0](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz)
+      [\[MD5\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.md5)
+      [\[SHA256\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/apache-singa-incubating-0.2.0-RC1.tar.gz.sha256)
+      [\[KEYS\]](https://dist.apache.org/repos/dist/dev/incubator/singa/0.2.0/KEYS)
+    * [Release Notes 0.2.0](releases/RELEASE_NOTES_0.2.0.html)
+    * New features and major updates,
+        * [Training on GPU](docs/gpu.html) enables training of complex models on a single
node with multiple GPU cards.
+        * [Hybrid neural net partitioning](docs/hybrid.html) supports data and model parallelism
at the same time.
+        * [Python wrapper](docs/python.html) makes it easy to configure the job, including
neural net and SGD algorithm.
+        * [RNN model and BPTT algorithm](docs/general-rnn.html) are implemented to support
applications based on RNN models, e.g., GRU.
+        * [Cloud software integration](docs/distributed-training.html) includes Mesos, Docker
and HDFS. -->
 
 <ul>
   



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