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   <p>#singa-incubating-0.3.0 Release Notes</p>
 <hr class="docutils" />
 <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. SINGA supports a wide variety
 of popular deep learning models.</p>
 <p>This release includes following features:</p>
 <ul class="simple">
 <li>GPU Support<ul>
 <li>[SINGA-131] Implement and optimize hybrid training using both CPU and GPU</li>
 <li>[SINGA-136] Support cuDNN v4</li>
 <li>[SINGA-134] Extend SINGA to run over a GPU cluster</li>
 <li>[SINGA-157] Change the priority of cudnn library and install libsingagpu.so</li>
 </ul>
 </li>
 <li>Remove Dependences<ul>
 <li>[SINGA-156] Remove the dependency on ZMQ for single process training</li>
 <li>[SINGA-155] Remove zookeeper for single-process training</li>
 </ul>
 </li>
 <li>Python Binding<ul>
 <li>[SINGA-126] Python Binding for Interactive Training</li>
 </ul>
 </li>
 <li>Other Improvements<ul>
 <li>[SINGA-80] New Blob Level and Address Level Math Operation Interface</li>
 <li>[SINGA-130] Data Prefetching</li>
 <li>[SINGA-145] New SGD based optimization Updaters: AdaDelta, Adam, AdamMax</li>
 </ul>
 </li>
 <li>Bugs Fixed<ul>
 <li>[SINGA-148] Race condition between Worker threads and Driver</li>
 <li>[SINGA-150] Mesos Docker container failed</li>
 <li>[SIGNA-141] Undesired Hash collision when locating process id to worker…</li>
 <li>[SINGA-149] Docker build fail</li>
 <li>[SINGA-143] The compilation cannot detect libsingagpu.so file</li>
 </ul>
 </li>
 </ul>


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	<p>#singa-incubating-0.3.0 Release Notes</p>
	<hr class="docutils" />
	<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. SINGA supports a wide variety
	of popular deep learning models.</p>
	<p>This release includes following features:</p>
	<ul class="simple">
	<li>GPU Support<ul>
	<li>[SINGA-131] Implement and optimize hybrid training using both CPU and GPU</li>
	<li>[SINGA-136] Support cuDNN v4</li>
	<li>[SINGA-134] Extend SINGA to run over a GPU cluster</li>
	<li>[SINGA-157] Change the priority of cudnn library and install libsingagpu.so</li>
	</ul>
	</li>
	<li>Remove Dependences<ul>
	<li>[SINGA-156] Remove the dependency on ZMQ for single process training</li>
	<li>[SINGA-155] Remove zookeeper for single-process training</li>
	</ul>
	</li>
	<li>Python Binding<ul>
	<li>[SINGA-126] Python Binding for Interactive Training</li>
	</ul>
	</li>
	<li>Other Improvements<ul>
	<li>[SINGA-80] New Blob Level and Address Level Math Operation Interface</li>
	<li>[SINGA-130] Data Prefetching</li>
	<li>[SINGA-145] New SGD based optimization Updaters: AdaDelta, Adam, AdamMax</li>
	</ul>
	</li>
	<li>Bugs Fixed<ul>
	<li>[SINGA-148] Race condition between Worker threads and Driver</li>
	<li>[SINGA-150] Mesos Docker container failed</li>
	<li>[SIGNA-141] Undesired Hash collision when locating process id to worker…</li>
	<li>[SINGA-149] Docker build fail</li>
	<li>[SINGA-143] The compilation cannot detect libsingagpu.so file</li>
	</ul>
	</li>
	</ul>


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	© Copyright 2017 The Apache Software Foundation. All rights reserved. Apache Singa, Apache, the Apache feather logo, and the Apache Singa project logos are trademarks of The Apache Software Foundation. All other marks mentioned may be trademarks or registered trademarks of their respective owners..

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