31–40 of 211 posts
BTW, Ruby has always been my scripting language but because of the wealth of libraries for deep learning I am thinking of switching to Python.
I can't wait to try this tonight. I have a fun "messing around" project (I am using GnuGo to generate as much training data as I need for playing Go on a very small board, and I am almost to the point of starting to train and test models). BTW, Ruby has always been my scripting language but because of the wealth of libraries for deep learning I am thinking of switching to Python.
Would really love to see ruby forks of popular ml libs.
Or is it because Python is better perfomance-wise?
> This open source release supports single machines and mobile devices. Can someone clarify if "single machines" means the Apache license only applies to single machines and not distributed systems? Sidenote: I wish every open source project had a release video.
There's a note on the site about being able to move computation to a process on a different machine, but it does mention copying the model. If I understand correctly, I think models tend to be quite small, though. Does it actually make sense to train a model simultaneously on different machines? I can understand running the same model on lots of machines, of course.
> This open source release supports single machines and mobile devices. Can someone clarify if "single machines" means the Apache license only applies to single machines and not distributed systems? Sidenote: I wish every open source project had a release video.
There's a note on the site about being able to move computation to a process on a different machine, but it does mention copying the model. If I understand correctly, I think models tend to be quite small, though. Does it actually make sense to train a model simultaneously on different machines? I can understand running the same model on lots of machines, of course.
GPU support, woohoo!
I can't wait to try this tonight. I have a fun "messing around" project (I am using GnuGo to generate as much training data as I need for playing Go on a very small board, and I am almost to the point of starting to train and test models). BTW, Ruby has always been my scripting language but because of the wealth of libraries for deep learning I am thinking of switching to Python.
Why switch? I use Ruby, when I can and Python when I can't. Would really love to see ruby forks of popular ml libs. Or is it because Python is better perfomance-wise?
I too would like to see Ruby ports of some of the popular ML libraries. The classifier gem provides an example.
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…
One thing find I found interesting is the ability to use the software you designed in research directly in production (without having to rewrite the whole thing in java)
That said, I'm excited to see Google release this. Hopefully it would encourage Facebook or Baidu to also release