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From wang...@apache.org
Subject svn commit: r1724011 - /incubator/singa/site/trunk/content/markdown/downloads.md
Date Mon, 11 Jan 2016 11:55:52 GMT
Author: wangwei
Date: Mon Jan 11 11:55:52 2016
New Revision: 1724011

URL: http://svn.apache.org/viewvc?rev=1724011&view=rev
Log:
Comment out the RC1 in download page, which is not allowd by ASF before official releasing.

Modified:
    incubator/singa/site/trunk/content/markdown/downloads.md

Modified: incubator/singa/site/trunk/content/markdown/downloads.md
URL: http://svn.apache.org/viewvc/incubator/singa/site/trunk/content/markdown/downloads.md?rev=1724011&r1=1724010&r2=1724011&view=diff
==============================================================================
--- incubator/singa/site/trunk/content/markdown/downloads.md (original)
+++ incubator/singa/site/trunk/content/markdown/downloads.md Mon Jan 11 11:55:52 2016
@@ -2,6 +2,8 @@
 ---
 
 * Latest code: please clone the latest code from [Github](https://github.com/apache/incubator-singa)
+
+<!--
 * 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)
@@ -12,8 +14,9 @@
         * [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/rnn.html) are implemented to support applications
based on RNN models, e.g., GRU.
+        * [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.
+-->
 
 
 * v0.1.0 (8 October 2015):



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