An Upgrade to SyntaxNet, New Models and a Parsing Competition
I've been fighting Tensorflow in the last couple of days to try an application on it, never before have I seen such a convoluted build process and a maze of dependencies. The best manual on getting tensorflow with CUDA support up and running is here:<p><a href="http://www.nvidia.com/object/gpu-accelerated-applications-tensorflow-installation.html" rel="nofollow">http://www.nvidia.com/object/gpu-accelerated-applications-te...</a><p>But it is a little bit out of date when it comes to version numbers.<p>If you're going to try TensorBox (<a href="https://github.com/TensorBox/TensorBox" rel="nofollow">https://github.com/TensorBox/TensorBox</a>) it will get a bit harder still because of conflicts and build issues with specific versions of TensorFlow.<p>There has to be an easier way to distribute a package.<p>That said, all this is super interesting and Google really moved the needle by opensourcing TensorFlow and other ML packages.