12 ms·

TensorFlow Tutorials

175 points by bootload 11y ago

akerro 11y ago
Does anyone have experience how TensorFlow work on Raspberry pi? I have an idea for a simple robot-car that's learns itself how to drive and and transport sensitive things (say, full glass of water). Would it put too much heavy load operations on Raspi 2?
- feelix 11y ago
  you could get it running on a raspberry pi. it's quick to run image recognition and so forth. it's training it initially that takes a lot of computing resources.
- nl 11y ago
  I don't believe anyone has it working yet. I've been watching this issue for progress: https://github.com/tensorflow/tensorflow/issues/254 https://github.com/tensorflow/tensorflow/issues/254
- dharma1 11y ago
  I would use NVidia Jetson TK1 or X1 instead, you can run same CUDA accelerated ML frameworks as elsewhere. Runs Ubuntu. TK1 is about $190 with 192 CUDA cores and enough IO for whatever you need. http://elinux.org/Jetson/GPIO http://elinux.org/Jetson/GPIO Train on a desktop/cloud GPU and use the trained network on the Jetson, you should get realtime perf for most simple autonomous driving related stuff. Look into ROS and Ardupilot Rover as well for a head start into autonomous RC cars. Here's a tutorial on getting Tensorflow running on Jetson - http://cudamusing.blogspot.co.uk/2015/11/building-tensorflow-for-jetson-tk1.html http://cudamusing.blogspot.co.uk/2015/11/building-tensorflow...
wrong_variable 11y ago
Half the tutorial is about how to set up virtualEnv and other config. This is why I hate developing in python. I will just wait for go and node.js to come up with their own APIs for tensor flow.
- maaku 11y ago
  You could write that API...
- mzahir 11y ago
  Use the docker image instead - https://www.tensorflow.org/versions/0.6.0/get_started/os_setup.html#docker_install https://www.tensorflow.org/versions/0.6.0/get_started/os_set...
  - cookingrobot 11y ago
    I'd successfully finished the Andrew Ng Coursera class using Matlab on my old MacBook Air, and moved on to TensorFlow. Turns out Docker is just too much for my 2 Gb Mac - it totally hangs. I got it working pretty easily on a web IDE codeenv, but it has limitations and I couldn't load the sample files or use ipython notebook. I'd love to run through these tutorials on a remote hosted environment with minimal configuration work. Anyone have advice?
- batat 11y ago
  Nodejs, nodejs-legacy, npm, gulp, bower and tsd. Not a big deal of course.
- rahimnathwani 11y ago
  "Half the tutorial is about how to set up virtualEnv and other config." No, it's not. The README.md for the repo has a link to the tensorflow 'Download and Setup' instructions (in another repo). The files in the tensorflow_tutorials repo are all code samples (and corresponding ipython notebooks) showing how to use Tensorflow.
- frozenport 11y ago
  Humbug! In my day you had to resolve linker dependencies, and god forbid if you mixed debug and release or one of the things you were linking against accidently set your process to single-threaded apartment mode, kids these days have it easy!
- wodenokoto 11y ago
sgt101 11y ago
These look like machine learning cases - does anyone have any other examples - network design? Crypto?
- nrooot 11y ago
  Some other applications: https://github.com/aymericdamien/TensorFlow-Examples https://github.com/aymericdamien/TensorFlow-Examples https://www.tensorflow.org/versions/0.6.0/tutorials/pdes/index.html https://www.tensorflow.org/versions/0.6.0/tutorials/pdes/ind... https://www.tensorflow.org/versions/0.6.0/tutorials/mandelbrot/index.html https://www.tensorflow.org/versions/0.6.0/tutorials/mandelbr...
stared 11y ago
I really like their high-level tutorials as in here: https://www.tensorflow.org/versions/0.6.0/tutorials/ https://www.tensorflow.org/versions/0.6.0/tutorials/ (with descriptions and general intro to neural networks, not only - a specific library). There are also Jupyter Notebooks: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/udacity https://github.com/tensorflow/tensorflow/tree/master/tensorf... (used as exercises in the Udacity course: https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730).
abledon 11y ago
This is a great start. However, I love to attach narratives to problems, and have always enjoyed the coding competition questions where they tell a little scenario (albeit contrived) that usually have to do with something like a farmer and her cows in a barn or bees flying to pollen. It seems to somehow engage my mind more with the problem. Anyways, It would be great if there was some sort of 'problem description' and a background story context to really get the learner excited about applying the machine learning tool to solve real (fictional) life problems that are affecting real (fictional) people. And just to dream, maybe a comic edition like codecomics does with react, or learning mysql with nostarchpress manga comics.
ufewilfub 11y ago
too few comments, would be nice to explain more
chrisconley 11y ago
This is great! If anyone's interested, yesterday we put up a fairly detailed guide to installing TensorFlow on EC2 GPU instances with Python 3.4. http://eatcodeplay.com/installing-gpu-enabled-tensorflow-with-python-3-4-in-ec2/ http://eatcodeplay.com/installing-gpu-enabled-tensorflow-wit...
ioab 11y ago
I'm trying to read the official docs for a computer vision gp and my mind froze. Will try these ones. Thanks :)

175 points by bootload 11y ago

Does anyone have experience how TensorFlow work on Raspberry pi? I have an idea for a simple robot-car that's learns itself how to drive and and transport sensitive things (say, full glass of water). Would it put too much heavy load operations on Raspi 2?

feelix 11y ago
you could get it running on a raspberry pi. it's quick to run image recognition and so forth. it's training it initially that takes a lot of computing resources.
nl 11y ago
I don't believe anyone has it working yet. I've been watching this issue for progress: https://github.com/tensorflow/tensorflow/issues/254 https://github.com/tensorflow/tensorflow/issues/254
dharma1 11y ago
I would use NVidia Jetson TK1 or X1 instead, you can run same CUDA accelerated ML frameworks as elsewhere. Runs Ubuntu. TK1 is about $190 with 192 CUDA cores and enough IO for whatever you need. http://elinux.org/Jetson/GPIO http://elinux.org/Jetson/GPIO Train on a desktop/cloud GPU and use the trained network on the Jetson, you should get realtime perf for most simple autonomous driving related stuff. Look into ROS and Ardupilot Rover as well for a head start into autonomous RC cars. Here's a tutorial on getting Tensorflow running on Jetson - http://cudamusing.blogspot.co.uk/2015/11/building-tensorflow-for-jetson-tk1.html http://cudamusing.blogspot.co.uk/2015/11/building-tensorflow...

wrong_variable 11y ago

Half the tutorial is about how to set up virtualEnv and other config. This is why I hate developing in python. I will just wait for go and node.js to come up with their own APIs for tensor flow.

maaku 11y ago
You could write that API...
mzahir 11y ago
Use the docker image instead - https://www.tensorflow.org/versions/0.6.0/get_started/os_setup.html#docker_install https://www.tensorflow.org/versions/0.6.0/get_started/os_set...
- cookingrobot 11y ago
  I'd successfully finished the Andrew Ng Coursera class using Matlab on my old MacBook Air, and moved on to TensorFlow. Turns out Docker is just too much for my 2 Gb Mac - it totally hangs. I got it working pretty easily on a web IDE codeenv, but it has limitations and I couldn't load the sample files or use ipython notebook. I'd love to run through these tutorials on a remote hosted environment with minimal configuration work. Anyone have advice?
batat 11y ago
Nodejs, nodejs-legacy, npm, gulp, bower and tsd. Not a big deal of course.
rahimnathwani 11y ago
"Half the tutorial is about how to set up virtualEnv and other config." No, it's not. The README.md for the repo has a link to the tensorflow 'Download and Setup' instructions (in another repo). The files in the tensorflow_tutorials repo are all code samples (and corresponding ipython notebooks) showing how to use Tensorflow.
frozenport 11y ago
Humbug! In my day you had to resolve linker dependencies, and god forbid if you mixed debug and release or one of the things you were linking against accidently set your process to single-threaded apartment mode, kids these days have it easy!
wodenokoto 11y ago

sgt101 11y ago

These look like machine learning cases - does anyone have any other examples - network design? Crypto?

nrooot 11y ago
Some other applications: https://github.com/aymericdamien/TensorFlow-Examples https://github.com/aymericdamien/TensorFlow-Examples https://www.tensorflow.org/versions/0.6.0/tutorials/pdes/index.html https://www.tensorflow.org/versions/0.6.0/tutorials/pdes/ind... https://www.tensorflow.org/versions/0.6.0/tutorials/mandelbrot/index.html https://www.tensorflow.org/versions/0.6.0/tutorials/mandelbr...

stared 11y ago

I really like their high-level tutorials as in here: https://www.tensorflow.org/versions/0.6.0/tutorials/ https://www.tensorflow.org/versions/0.6.0/tutorials/ (with descriptions and general intro to neural networks, not only - a specific library). There are also Jupyter Notebooks: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/examples/udacity https://github.com/tensorflow/tensorflow/tree/master/tensorf... (used as exercises in the Udacity course: https://www.udacity.com/course/deep-learning--ud730 https://www.udacity.com/course/deep-learning--ud730).

abledon 11y ago

This is a great start. However, I love to attach narratives to problems, and have always enjoyed the coding competition questions where they tell a little scenario (albeit contrived) that usually have to do with something like a farmer and her cows in a barn or bees flying to pollen. It seems to somehow engage my mind more with the problem. Anyways, It would be great if there was some sort of 'problem description' and a background story context to really get the learner excited about applying the machine learning tool to solve real (fictional) life problems that are affecting real (fictional) people. And just to dream, maybe a comic edition like codecomics does with react, or learning mysql with nostarchpress manga comics.

ufewilfub 11y ago

too few comments, would be nice to explain more

chrisconley 11y ago

This is great! If anyone's interested, yesterday we put up a fairly detailed guide to installing TensorFlow on EC2 GPU instances with Python 3.4. http://eatcodeplay.com/installing-gpu-enabled-tensorflow-with-python-3-4-in-ec2/ http://eatcodeplay.com/installing-gpu-enabled-tensorflow-wit...

ioab 11y ago

I'm trying to read the official docs for a computer vision gp and my mind froze. Will try these ones. Thanks :)