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+
+

+
+
+[](https://badge.fury.io/py/tensorflow)
+[](https://badge.fury.io/py/tensorflow)
+[](https://doi.org/10.5281/zenodo.4724125)
+[](https://bestpractices.coreinfrastructure.org/projects/1486)
+[](https://securityscorecards.dev/viewer/?uri=github.com/tensorflow/tensorflow)
+[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow)
+[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow-py)
+[](https://ossrank.com/p/44)
+[](CODE_OF_CONDUCT.md)
+
+**`Documentation`** |
+------------------- |
+[](https://www.tensorflow.org/api_docs/) |
+
+[TensorFlow](https://www.tensorflow.org/) is an end-to-end open source platform
+for machine learning. It has a comprehensive, flexible ecosystem of
+[tools](https://www.tensorflow.org/resources/tools),
+[libraries](https://www.tensorflow.org/resources/libraries-extensions), and
+[community](https://www.tensorflow.org/community) resources that lets
+researchers push the state-of-the-art in ML and developers easily build and
+deploy ML-powered applications.
+
+TensorFlow was originally developed by researchers and engineers working within
+the Machine Intelligence team at Google Brain to conduct research in machine
+learning and neural networks. However, the framework is versatile enough to be
+used in other areas as well.
+
+TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
+and [C++](https://www.tensorflow.org/api_docs/cc) APIs, as well as a
+non-guaranteed backward compatible API for
+[other languages](https://www.tensorflow.org/api_docs).
+
+Keep up-to-date with release announcements and security updates by subscribing
+to
+[announce@tensorflow.org](https://groups.google.com/a/tensorflow.org/forum/#!forum/announce).
+See all the [mailing lists](https://www.tensorflow.org/community/forums).
+
+## Install
+
+See the [TensorFlow install guide](https://www.tensorflow.org/install) for the
+[pip package](https://www.tensorflow.org/install/pip), to
+[enable GPU support](https://www.tensorflow.org/install/gpu), use a
+[Docker container](https://www.tensorflow.org/install/docker), and
+[build from source](https://www.tensorflow.org/install/source).
+
+To install the current release, which includes support for
+[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu) *(Ubuntu and
+Windows)*:
+
+```
+ pip install tensorflow
+```
+
+Other devices (DirectX and MacOS-metal) are supported using
+[Device Plugins](https://www.tensorflow.org/install/gpu_plugins#available_devices).
+
+A smaller CPU-only TensorFlow package is also available:
+
+```
+ pip install tensorflow-cpu
+```
+
+To update TensorFlow to the latest version, add the `--upgrade` flag to the
+commands above.
+
+*Nightly binaries are available for testing using the
+[tf-nightly](https://pypi.python.org/pypi/tf-nightly) and
+[tf-nightly-cpu](https://pypi.python.org/pypi/tf-nightly-cpu) packages on PyPI.*
+
+#### *Try your first TensorFlow program*
+
+```shell
+$ python
+```
+
+```python
+>>> import tensorflow as tf
+>>> tf.add(1, 2).numpy()
+3
+>>> hello = tf.constant('Hello, TensorFlow!')
+>>> hello.numpy()
+b'Hello, TensorFlow!'
+```
+
+For more examples, see the
+[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).
+
+## Contribution guidelines
+
+**If you want to contribute to TensorFlow, be sure to review the
+[Contribution Guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's
+[Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to
+uphold this code.**
+
+**We use [GitHub Issues](https://github.com/tensorflow/tensorflow/issues) for
+tracking requests and bugs, please see
+[TensorFlow Forum](https://discuss.tensorflow.org/) for general questions and
+discussion, and please direct specific questions to
+[Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).**
+
+The TensorFlow project strives to abide by generally accepted best practices in
+open-source software development.
+
+## Patching guidelines
+
+Follow these steps to patch a specific version of TensorFlow, for example, to
+apply fixes to bugs or security vulnerabilities:
+
+* Clone the TensorFlow repository and switch to the appropriate branch for
+ your desired version—for example, `r2.8` for version 2.8.
+* Apply the desired changes (i.e., cherry-pick them) and resolve any code
+ conflicts.
+* Run TensorFlow tests and ensure they pass.
+* [Build](https://www.tensorflow.org/install/source) the TensorFlow pip
+ package from source.
+
+## Continuous build status
+
+You can find more community-supported platforms and configurations in the
+[TensorFlow SIG Build Community Builds Table](https://github.com/tensorflow/build#community-supported-tensorflow-builds).
+
+### Official Builds
+
+Build Type | Status | Artifacts
+----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------
+**Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/)
+**Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-gpu-py3.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/)
+**Linux XLA** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/ubuntu-xla.html) | TBA
+**macOS** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/macos-py2-cc.html) | [PyPI](https://pypi.org/project/tf-nightly/)
+**Windows CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-cpu.html) | [PyPI](https://pypi.org/project/tf-nightly/)
+**Windows GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/windows-gpu.html) | [PyPI](https://pypi.org/project/tf-nightly-gpu/)
+**Android** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/android.html) | [Download](https://bintray.com/google/tensorflow/tensorflow/_latestVersion)
+**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)
+**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)
+
+## Resources
+
+* [TensorFlow.org](https://www.tensorflow.org)
+* [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/)
+* [TensorFlow Official Models](https://github.com/tensorflow/models/tree/master/official)
+* [TensorFlow Examples](https://github.com/tensorflow/examples)
+* [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
+* [TensorFlow Blog](https://blog.tensorflow.org)
+* [Learn ML with TensorFlow](https://www.tensorflow.org/resources/learn-ml)
+* [TensorFlow Twitter](https://twitter.com/tensorflow)
+* [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ)
+* [TensorFlow model optimization roadmap](https://www.tensorflow.org/model_optimization/guide/roadmap)
+* [TensorFlow White Papers](https://www.tensorflow.org/about/bib)
+* [TensorBoard Visualization Toolkit](https://github.com/tensorflow/tensorboard)
+* [TensorFlow Code Search](https://cs.opensource.google/tensorflow/tensorflow)
+
+Learn more about the
+[TensorFlow Community](https://www.tensorflow.org/community) and how to
+[Contribute](https://www.tensorflow.org/community/contribute).
+
+## Courses
+
+* [Coursera](https://www.coursera.org/search?query=TensorFlow)
+* [Udacity](https://www.udacity.com/courses/all?search=TensorFlow)
+* [Edx](https://www.edx.org/search?q=TensorFlow)
+
+## License
+
+[Apache License 2.0](LICENSE)