<story><title>Jeff Dean explains TensorFlow [video]</title><url>https://www.youtube.com/watch?v=90-S1M7Ny_o&amp;t=21m2s</url></story><parent_chain><item><author>argonaut</author><text>Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late:&lt;p&gt;I think some of the raving that&amp;#x27;s going on is unwarranted. This is a &lt;i&gt;very nice&lt;/i&gt;,  very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance &amp;#x2F; portability improvements.  But it does not do anything fundamentally different from what has already been done for many years with Theano and Torch (which are standard toolkits for expressing computations, usually for building neural nets) and other libraries. It is not a game-changer or a spectacular moment in history as some people seem to believe.</text></item></parent_chain><comment><author>adrianbg</author><text>Well, it looks way more scalable than Theano or Torch while being as easy to use as Theano. I&amp;#x27;d say that&amp;#x27;s pretty exciting considering the number of groups working on way lower-level scalable neural nets.&lt;p&gt;This is &amp;quot;not a game-changer&amp;quot; in the same way map-reduce isn&amp;#x27;t a game-changer wrt for loops.&lt;p&gt;Also check out TensorBoard, their visualization tool (animation halfway down the page):&lt;p&gt;&lt;a href=&quot;http:&amp;#x2F;&amp;#x2F;googleresearch.blogspot.com&amp;#x2F;2015&amp;#x2F;11&amp;#x2F;tensorflow-googles-latest-machine_9.html&quot; rel=&quot;nofollow&quot;&gt;http:&amp;#x2F;&amp;#x2F;googleresearch.blogspot.com&amp;#x2F;2015&amp;#x2F;11&amp;#x2F;tensorflow-google...&lt;/a&gt;</text></comment>
<story><title>Jeff Dean explains TensorFlow [video]</title><url>https://www.youtube.com/watch?v=90-S1M7Ny_o&amp;t=21m2s</url></story><parent_chain><item><author>argonaut</author><text>Just wanted to repost this from the other thread on TensorFlow, since I joined the party a bit late:&lt;p&gt;I think some of the raving that&amp;#x27;s going on is unwarranted. This is a &lt;i&gt;very nice&lt;/i&gt;,  very well put together library with a great landing page. It might eventually displace Torch and Theano as the standard toolkits for deep learning. It looks like it might offer performance &amp;#x2F; portability improvements.  But it does not do anything fundamentally different from what has already been done for many years with Theano and Torch (which are standard toolkits for expressing computations, usually for building neural nets) and other libraries. It is not a game-changer or a spectacular moment in history as some people seem to believe.</text></item></parent_chain><comment><author>tachyonbeam</author><text>I&amp;#x27;m curious how the performance and scalability compares with Theano and Torch. I&amp;#x27;m thinking the reason Google built this is that they wanted to scale computations to really large clusters (thousands, tens of thousands of machines) and the other options didn&amp;#x27;t really cut it.</text></comment>