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gerrit-public.fairphone.software / platform / external / tensorflow / a4142f1289fea568b9fe8c0080bf4cdffa5a03ad
commita4142f1289fea568b9fe8c0080bf4cdffa5a03ad[log] [tgz]
authorA. Unique TensorFlower <nobody@tensorflow.org>Tue Feb 09 22:14:28 2016 -0800
committerTensorFlower Gardener <gardener@tensorflow.org>Wed Feb 10 07:37:29 2016 -0800
treeb5fd064e6a1fa2eedb1255c8bc8cc380d66dc77f
parentbc918afeb7e1768bd38563f980e3ec873f027468 [diff]
Includes ops used by user-defined functions in _stripped_op_list_for_graph.
Change: 114294037
21 files changed
tree: b5fd064e6a1fa2eedb1255c8bc8cc380d66dc77f
  1. google/
  2. tensorflow/
  3. third_party/
  4. tools/
  5. util/
  6. .gitignore
  7. .gitmodules
  8. ACKNOWLEDGMENTS
  9. AUTHORS
  10. bower.BUILD
  11. configure
  12. CONTRIBUTING.md
  13. eigen.BUILD
  14. jpeg.BUILD
  15. LICENSE
  16. navbar.md
  17. png.BUILD
  18. README.md
  19. RELEASE.md
  20. six.BUILD
  21. WORKSPACE
README.md

#TensorFlow

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TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow was originally developed by researchers and engineers working on the Google Brain team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research. The system is general enough to be applicable in a wide variety of other domains, as well.

If you'd like to contribute to tensorflow, be sure to review the contribution guidelines.

We use github issues for tracking requests and bugs, but please see Community for general questions and discussion.

Download and Setup

See install instructions.

Try your first TensorFlow program

$ python

>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a+b)
42
>>>

##For more information