TensorFlow: open-source library for machine intelligence

Post by lmeyerov » Tue, Nov 10, 2015, 2:36 AM UTC

varelse wrote: post #123

chubot wrote: post #115

Earlier quoted context omitted.

Uh, so what happened? Were you working on a GPU project at Google before management came around to this way of thinking, and it got canned? That sucks, but that kind of thing happens a lot. It's not that surprising. Google wanted a homogeneous infrastructure for a long time. But a new application (neural networks) motivated a new infrastructure (GPUs in clusters). There was that Stanford paper everyone talks about wh…

I'm done ranting about Google and GPUs at last. From a technical standpoint, I believe TensorFlow vindicates my viewpoint and that's enough for me. This is closure I really needed, OK? And besides, now I can concentrate my energy on asking WTH happened to Android performance between 4.x and 5.x J/K? And from a professional standpoint, I moved on and fixed the damage I let them inflict on my career. I eventually built…

Post by cafebeen » Tue, Nov 10, 2015, 3:22 AM UTC

elcritch wrote: post #71

kragen wrote: post #8

This is really significant. At this moment in history, the growth of computer power has made a bunch of important signal-processing and statistical tasks just feasible, so we are seeing things like self-driving cars, superhuman image recognition, and so on. But it's been very difficult to take advantage of the available computational power, because it's in the form of GPUs and clusters. TensorFlow is a library design…

Agreed, this is huge . I've been thinking along these lines for a while, but more focused on traditional programming systems. The approach of programming via data-flows and visually representing those is going to be enormous in the coming decade, IMHO. Especially in asynchronous and heterogenous programming environments. Actually, it feels like I've been "scooped" somewhat. However, at the same time it's awesome to f…

Post by argonaut » Tue, Nov 10, 2015, 3:33 AM UTC

kragen wrote: post #8

This is really significant. At this moment in history, the growth of computer power has made a bunch of important signal-processing and statistical tasks just feasible, so we are seeing things like self-driving cars, superhuman image recognition, and so on. But it's been very difficult to take advantage of the available computational power, because it's in the form of GPUs and clusters. TensorFlow is a library design…

Post by sandGorgon » Tue, Nov 10, 2015, 5:31 AM UTC

davmre wrote: post #158

sandGorgon wrote: post #122

what would be really awesome is if Andrew Ng or Norvig build a course around Tensorflow. It is really not useful to a beginner to be learning everything in matlab.

There are already a few university ML courses out there using Theano (for which Tensorflow is essentially a drop-in replacement), and I think this will be a much bigger trend over the next few years. IMHO for a first course it's useful to do some work at the Matlab/numpy level just so you get experience with deriving/implementing gradients yourself, but for larger (deep) models automatic differentiation is an amazing…

Post by joanfihu » Tue, Nov 10, 2015, 10:24 AM UTC