Hey Aaron! Hello from one of the people you taught in your first GADS class in DC.
Hi! Good to hear from you here! :)
Hello, Tensorflow
11–20 of 44 posts
Re: Hello, Tensorflow
#12I love this short tutorials that give you an introduction to anything in an hour. They help you get interested in stuff you wouldn't have gotten interested in otherwise.
Re: Hello, Tensorflow
#13As I've been reading about tensorflow lately I feel like I'm missing something regarding distributed processing. How can Tensorflow 'scale up' easily if you are outside of Google? We have big datasets that I want to run learning on but it seems awkward to do with tensorflow. We're big enough that the team managing our cluster is separate than development and it is a huge pain if we need them to go install tools on each node. Even with Spark support it seems like the tensorflow python libraries need to be set up on each machine in the cluster ahead of time.
Am I missing something?
Re: Hello, Tensorflow
#14 TensorFlow is admirably easier to install than some other frameworks
# Ubuntu/Linux 64-bit, CPU only:
$ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/cpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl
# Ubuntu/Linux 64-bit, GPU enabled. Requires CUDA toolkit 7.5 and CuDNN v4. For
# other versions, see "Install from sources" below.
$ sudo pip install --upgrade https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow-0.8.0-cp27-none-linux_x86_64.whl
That said, I haven't played around with AI frameworks too much, so I might just be missing a real stinker.
Re: Hello, Tensorflow
#15As I've been reading about tensorflow lately I feel like I'm missing something regarding distributed processing. How can Tensorflow 'scale up' easily if you are outside of Google? We have big datasets that I want to run learning on but it seems awkward to do with tensorflow. We're big enough that the team managing our cluster is separate than development and it is a huge pain if we need them to go install tools on ea…
No, you're not. Google did this with their build engine (Blaze, internally - Bazel is the open-source API, lacking a distributed build platform). Google are doing this with Apache Beam (the API to Google dataflow) - releasing an API for local testing but not releasing the distributed engine.
If you have your data in a Hadoop cluster and are doing image recognition, Yahoo's Cafe on Spark is the only truly distributed engine out there. It uses MPI to share model state between executors.
Re: Hello, Tensorflow
#16TensorFlow is admirably easier to install than some other frameworks I thought most frameworks are fairly easy to install in python, usually with a single call to pip. NLTK takes one "pip install nltk" and then "python", "import nltk", "nltk.download()" to download all the corpuses and miscellaneous data. Installing tensorflow seems complicated compared to that. # Ubuntu/Linux 64-bit, CPU only: $ sudo pip install --u…
Compared to other frameworks which allow for deep learning, it's much easier to install.
Re: Hello, Tensorflow
#17TensorFlow is admirably easier to install than some other frameworks I thought most frameworks are fairly easy to install in python, usually with a single call to pip. NLTK takes one "pip install nltk" and then "python", "import nltk", "nltk.download()" to download all the corpuses and miscellaneous data. Installing tensorflow seems complicated compared to that. # Ubuntu/Linux 64-bit, CPU only: $ sudo pip install --u…
Compared to other frameworks which allow for deep learning, it's much easier to install.
I see. The article was a bit vague for me in what it means by frameworks (does NLTK count? Django? DL frameworks in other languages?), and since I don't know the area too well, that struck out to me as odd.
It honestly looks like pretty cool stuff, looking forward to having time to play around with it some day.
Re: Hello, Tensorflow
#18Wow! I was going to post this but here it is already! I wrote (with a lot of help) the article there. I also jotted down some notes on the process of writing it with O'Reilly in case anybody's interested in that side of things: http://planspace.org/20160619-writing_with_oreilly/
Great article! You did miss a GoT plug though "An Object has no name". Tisk! But seriously though thanks for the background post to go with. Cheers.
Re: Hello, Tensorflow
#19Wow! I was going to post this but here it is already! I wrote (with a lot of help) the article there. I also jotted down some notes on the process of writing it with O'Reilly in case anybody's interested in that side of things: http://planspace.org/20160619-writing_with_oreilly/
Just a CSS critique: could you add "monospace" to the end of your list of monospaced fonts?
I have perfectly good monospaced fonts on this computer, but none of them are Consolas, Menlo, Monaco, or Lucida Console, so I end up with a default proportional serif font.
Re: Hello, Tensorflow
#20TensorFlow is admirably easier to install than some other frameworks I thought most frameworks are fairly easy to install in python, usually with a single call to pip. NLTK takes one "pip install nltk" and then "python", "import nltk", "nltk.download()" to download all the corpuses and miscellaneous data. Installing tensorflow seems complicated compared to that. # Ubuntu/Linux 64-bit, CPU only: $ sudo pip install --u…
clearly you haven't tried to install caffe