<?xml version="1.0" encoding="utf-8"?>
<feed xmlns="http://www.w3.org/2005/Atom"><title>PyVideo.org - Erik Rehn</title><link href="https://pyvideo.org/" rel="alternate"></link><link href="https://pyvideo.org/feeds/speaker_erik-rehn.atom.xml" rel="self"></link><id>https://pyvideo.org/</id><updated>2016-05-09T00:00:00+00:00</updated><subtitle></subtitle><entry><title>Deep Python learning with Tensorflow - a data-driven approach to Python execution</title><link href="https://pyvideo.org/pycon-se-2016/deep-python-learning-with-tensorflow-a-data-driven-approach-to-python-execution.html" rel="alternate"></link><published>2016-05-09T00:00:00+00:00</published><updated>2016-05-09T00:00:00+00:00</updated><author><name>Erik Rehn</name></author><id>tag:pyvideo.org,2016-05-09:/pycon-se-2016/deep-python-learning-with-tensorflow-a-data-driven-approach-to-python-execution.html</id><summary type="html">&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;Is it possible to train a neural network to execute Python scripts?&lt;/p&gt;
&lt;p&gt;Data-driven algorithm learning is a growing field of research. In this talk we will take a look at Google’s new deep learning library Tensorflow, and implement a basic model that can be taught how to execute …&lt;/p&gt;</summary><content type="html">&lt;h3&gt;Description&lt;/h3&gt;&lt;p&gt;Is it possible to train a neural network to execute Python scripts?&lt;/p&gt;
&lt;p&gt;Data-driven algorithm learning is a growing field of research. In this talk we will take a look at Google’s new deep learning library Tensorflow, and implement a basic model that can be taught how to execute simple Python scripts.&lt;/p&gt;
</content><category term="PyCon SE 2016"></category><category term="tensorflow"></category></entry></feed>