167 lines
14 KiB
Markdown
167 lines
14 KiB
Markdown
<div align="center">
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<img src="https://www.tensorflow.org/images/tf_logo_social.png">
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</div>
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[](https://badge.fury.io/py/tensorflow)
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[](https://badge.fury.io/py/tensorflow)
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**`Documentation`** |
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------------------- |
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[](https://www.tensorflow.org/api_docs/) |
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[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform
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for machine learning. It has a comprehensive, flexible ecosystem of
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[tools](https://www.tensorflow.org/resources/tools),
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[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
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[community](https://www.tensorflow.org/community) resources that lets
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researchers push the state-of-the-art in ML and developers easily build and
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deploy ML-powered applications.
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TensorFlow was originally developed by researchers and engineers working on the
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Google Brain team within Google's Machine Intelligence Research organization to
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conduct machine learning and deep neural networks research. The system is
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general enough to be applicable in a wide variety of other domains, as well.
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TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
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and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as
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non-guaranteed backward compatible API for
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[other languages](https://www.tensorflow.org/api_docs).
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Keep up-to-date with release announcements and security updates by subscribing
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to
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[announce@tensorflow.org](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce).
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See all the [mailing lists](https://www.tensorflow.org/community/forums).
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## Install
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See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
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[pip package](https://www.tensorflow.org/install/pip), to
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[enable GPU support](https://www.tensorflow.org/install/gpu), use a
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[Docker container](https://www.tensorflow.org/install/docker), and
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[build from source](https://www.tensorflow.org/install/source).
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To install the current release, which includes support for
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[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
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Windows)*:
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```
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$ pip install tensorflow
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```
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A smaller CPU-only package is also available:
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```
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$ pip install tensorflow-cpu
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```
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To update TensorFlow to the latest version, add `--upgrade` flag to the above
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commands.
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*Nightly binaries are available for testing using the
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[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
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[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPi.*
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#### *Try your first TensorFlow program*
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```shell
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$ python
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```
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```python
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>>> import tensorflow as tf
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>>> tf.add(1, 2).numpy()
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3
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>>> hello = tf.constant('Hello, TensorFlow!')
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>>> hello.numpy()
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b'Hello, TensorFlow!'
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```
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For more examples, see the
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[TensorFlow tutorials](https://www.tensorflow.org/tutorials/).
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## Contribution guidelines
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**If you want to contribute to TensorFlow, be sure to review the
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[contribution guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
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[code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to
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uphold this code.**
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**We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for
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tracking requests and bugs, please see
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[TensorFlow Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss)
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for general questions and discussion, and please direct specific questions to
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[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**
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The TensorFlow project strives to abide by generally accepted best practices in
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open-source software development:
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[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow)
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[](https://bestpractices.coreinfrastructure.org/projects/1486)
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[](CODE_OF_CONDUCT.md)
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## Continuous build status
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### Official Builds
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Build Type | Status | Artifacts
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------------------------ | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------
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**Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/)
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**Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-gpu-py3.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/)
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**Linux XLA** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-xla.html) | TBA
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**macOS** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/macos-py2-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/)
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**Windows CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-cpu.html) | [PyPI](https://pypi.org/project/tf-nightly/)
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**Windows GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-gpu.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/)
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**Android** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/android.html) | [](https://bintray.com/google/tensorflow/tensorflow/_latestVersion)
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**Raspberry Pi 0 and 1** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi01-py3.html) | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv6l.whl)
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**Raspberry Pi 2 and 3** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/rpi23-py3.html) | [Py3](https://storage.googleapis.com/tensorflow-nightly/tensorflow-1.10.0-cp34-none-linux_armv7l.whl)
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**Libtensorflow MacOS CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-mac-cpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly)
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**Libtensorflow Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-cpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly)
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**Libtensorflow Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-gpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly)
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**Libtensorflow Windows CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-win-cpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly)
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**Libtensorflow Windows GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-win-gpu.html) | [GCS](https://storage.googleapis.com/libtensorflow-nightly)
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### Community Supported Builds
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Build Type | Status | Artifacts
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----------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------
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**Linux AMD ROCm GPU** Nightly | [](http://ml-ci.amd.com:21096/job/tensorflow-rocm-nightly) | [Nightly](http://ml-ci.amd.com:21096/job/tensorflow-rocm-nightly/lastSuccessfulBuild/)
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**Linux AMD ROCm GPU** Stable Release | [](http://ml-ci.amd.com:21096/job/tensorflow-rocm-release/) | Release [1.15](http://ml-ci.amd.com:21096/job/tensorflow-rocm-release/lastSuccessfulBuild/) / [2.x](http://ml-ci.amd.com:21096/job/tensorflow-rocm-v2-release/lastSuccessfulBuild/)
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**Linux s390x** Nightly | [](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/) | [Nightly](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/)
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**Linux s390x CPU** Stable Release | [](https://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_Release_Build/) | [Release](https://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_Release_Build/)
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**Linux ppc64le CPU** Nightly | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/) | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Nightly_Artifact/)
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**Linux ppc64le CPU** Stable Release | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Release_Build/) | Release [1.15](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Release_Build/) / [2.x](https://powerci.osuosl.org/job/TensorFlow2_PPC64LE_CPU_Release_Build/)
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**Linux ppc64le GPU** Nightly | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/) | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)
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**Linux ppc64le GPU** Stable Release | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/) | Release [1.15](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Release_Build/) / [2.x](https://powerci.osuosl.org/job/TensorFlow2_PPC64LE_GPU_Release_Build/)
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**Linux CPU with Intel® MKL-DNN** Nightly | [](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/) | [Nightly](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/)
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**Linux CPU with Intel® MKL-DNN** Stable Release |  | Release [1.15](https://pypi.org/project/intel-tensorflow/1.15.0/) / [2.x](https://pypi.org/project/intel-tensorflow/)
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**Red Hat® Enterprise Linux® 7.6 CPU & GPU** <br> Python 2.7, 3.6 | [](https://jenkins-tensorflow.apps.ci.centos.org/job/tensorflow-rhel7-3.6/2/) | [1.13.1 PyPI](https://tensorflow.pypi.thoth-station.ninja/index/)
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## Resources
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* [TensorFlow.org](https://www.tensorflow.org)
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* [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
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* [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
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* [TensorFlow Examples](https://github.com/tensorflow/examples)
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* [TensorFlow in Practice from Coursera](https://www.coursera.org/specializations/tensorflow-in-practice)
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* [TensorFlow: Data and Deployment from Coursera](https://www.coursera.org/specializations/tensorflow-data-and-deployment)
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* [Getting Started with TensorFlow 2 from Coursera](https://www.coursera.org/learn/getting-started-with-tensor-flow2)
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* [Intro to TensorFlow for Deep Learning from Udacity](https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187)
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* [Introduction to TensorFlow Lite from Udacity](https://www.udacity.com/course/intro-to-tensorflow-lite--ud190)
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* [Machine Learning with TensorFlow on GCP](https://www.coursera.org/specializations/machine-learning-tensorflow-gcp)
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* [TensorFlow Blog](https://blog.tensorflow.org)
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* [Learn ML with TensorFlow](https://www.tensorflow.org/resources/learn-ml)
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* [TensorFlow Twitter](https://twitter.com/tensorflow)
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* [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
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* [TensorFlow Roadmap](https://www.tensorflow.org/community/roadmap)
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* [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
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* [TensorBoard Visualization Toolkit](https://github.com/tensorflow/tensorboard)
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Learn more about the
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[TensorFlow community](https://www.tensorflow.org/community) and how to
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[contribute](https://www.tensorflow.org/community/contribute).
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## License
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[Apache License 2.0](LICENSE)
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