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Posted to commits@singa.apache.org by bu...@apache.org on 2015/09/19 11:04:35 UTC
svn commit: r965992 - in /websites/staging/singa/trunk/content: ./
docs/overview.html introduction.html quick-start.html
Author: buildbot
Date: Sat Sep 19 09:04:35 2015
New Revision: 965992
Log:
Staging update by buildbot for singa
Removed:
websites/staging/singa/trunk/content/introduction.html
websites/staging/singa/trunk/content/quick-start.html
Modified:
websites/staging/singa/trunk/content/ (props changed)
websites/staging/singa/trunk/content/docs/overview.html
Propchange: websites/staging/singa/trunk/content/
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Modified: websites/staging/singa/trunk/content/docs/overview.html
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--- websites/staging/singa/trunk/content/docs/overview.html (original)
+++ websites/staging/singa/trunk/content/docs/overview.html Sat Sep 19 09:04:35 2015
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<div id="bodyColumn" class="span10" >
<h1>Introduction</h1>
+<hr />
<p>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. A variety of popular deep learning models are supported, namely feed-forward models including convolutional neural networks (CNN), energy models like restricted Boltzmann machine (RBM), and recurrent neural networks (RNN). Many built-in layers are provided for users. SINGA architecture is sufficiently flexible to run synchronous, asynchronous and hybrid training frameworks. SINGA also supports different neural net partitioning schemes to parallelize the training of large models, namely partitioning on batch dimension, feature dimension or hybrid partitioning.</p>
<div class="section">
<h2><a name="Goals"></a>Goals</h2>