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|-----------------|
| [![Documentation](https://img.shields.io/badge/api-reference-blue.svg)](https://www.tensorflow.org/api_docs/) |
**TensorFlow** is an open source software library for numerical computation using
data flow graphs. The graph nodes represent mathematical operations, while
**TensorFlow** is an open source software library for numerical computation
using data flow graphs. The graph nodes represent mathematical operations, while
the graph edges represent the multidimensional data arrays (tensors) that flow
between them. This flexible architecture enables you to deploy computation to one
or more CPUs or GPUs in a desktop, server, or mobile device without rewriting
code. TensorFlow also includes [TensorBoard](https://www.tensorflow.org/guide/summaries_and_tensorboard), a data visualization toolkit.
between them. This flexible architecture enables you to deploy computation to
one or more CPUs or GPUs in a desktop, server, or mobile device without
rewriting code. TensorFlow also includes
[TensorBoard](https://github.com/tensorflow/tensorboard), a data visualization
toolkit.
TensorFlow was originally developed by researchers and engineers
working on the Google Brain team within Google's Machine Intelligence Research
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**Linux CPU with Intel® MKL-DNN** Python 2.7<br> **Linux CPU with Intel® MKL-DNN** Python 3.4<br> **Linux CPU with Intel® MKL-DNN** Python 3.5<br> **Linux CPU with Intel® MKL-DNN** Python 3.6 | [![Build Status](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/badge/icon)](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-release-whl/lastStableBuild) | [1.11.0 py2.7](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp27-cp27mu-linux_x86_64.whl)<br>[1.11.0 py3.4](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp34-cp34m-linux_x86_64.whl)<br>[1.11.0 py3.5](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp35-cp35m-linux_x86_64.whl)<br>[1.11.0 py3.6](https://storage.googleapis.com/intel-optimized-tensorflow/tensorflow-1.11.0-cp36-cp36m-linux_x86_64.whl)
## For more information
* [TensorFlow Website](https://www.tensorflow.org)
* [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
* [TensorFlow Model Zoo](https://github.com/tensorflow/models)
* [TensorFlow Twitter](https://twitter.com/tensorflow)
* [TensorFlow Blog](https://medium.com/tensorflow)
* [TensorFlow Course at Stanford](https://web.stanford.edu/class/cs20si)
* [TensorFlow Roadmap](https://www.tensorflow.org/community/roadmap)
* [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
* [TensorFlow YouTube Channel](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
* [TensorFlow Website](https://www.tensorflow.org)
* [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
* [TensorFlow Model Zoo](https://github.com/tensorflow/models)
* [TensorFlow Twitter](https://twitter.com/tensorflow)
* [TensorFlow Blog](https://medium.com/tensorflow)
* [TensorFlow Course at Stanford](https://web.stanford.edu/class/cs20si)
* [TensorFlow Roadmap](https://www.tensorflow.org/community/roadmap)
* [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
* [TensorFlow YouTube Channel](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
* [TensorFlow Visualization Toolkit](https://github.com/tensorflow/tensorboard)
Learn more about the TensorFlow community at the [community page of tensorflow.org](https://www.tensorflow.org/community) for a few ways to participate.