[](https://badge.fury.io/py/tensorflow)
[](https://badge.fury.io/py/tensorflow)
**`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 on the
Google Brain team within Google's Machine Intelligence Research organization to
conduct machine learning and deep neural networks research. The system is
general enough to be applicable in a wide variety of other domains, 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
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
```
A smaller CPU-only package is also available:
```
$ pip install tensorflow-cpu
```
To update TensorFlow to the latest version, add `--upgrade` flag to the above
commands.
*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 Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss)
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:
[](https://bugs.chromium.org/p/oss-fuzz/issues/list?sort=-opened&can=1&q=proj:tensorflow)
[](https://bestpractices.coreinfrastructure.org/projects/1486)
[](CODE_OF_CONDUCT.md)
## Continuous build status
### 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) | [](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)
**Libtensorflow MacOS CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-mac-cpu.html) | [Nightly GCS](https://storage.googleapis.com/libtensorflow-nightly) [Official GCS](https://storage.googleapis.com/tensorflow/)
**Libtensorflow Linux CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-cpu.html) | [Nightly GCS](https://storage.googleapis.com/libtensorflow-nightly) [Official GCS](https://storage.googleapis.com/tensorflow/)
**Libtensorflow Linux GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-linux-gpu.html) | [Nightly GCS](https://storage.googleapis.com/libtensorflow-nightly) [Official GCS](https://storage.googleapis.com/tensorflow/)
**Libtensorflow Windows CPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-win-cpu.html) | [Nightly GCS](https://storage.googleapis.com/libtensorflow-nightly) [Official GCS](https://storage.googleapis.com/tensorflow/)
**Libtensorflow Windows GPU** | [](https://storage.googleapis.com/tensorflow-kokoro-build-badges/libtensorflow-win-gpu.html) | [Nightly GCS](https://storage.googleapis.com/libtensorflow-nightly) [Official GCS](https://storage.googleapis.com/tensorflow/)
### Community Supported Builds
Build Type | Status | Artifacts
----------------------------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ---------
**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/)
**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/)
**Linux s390x** Nightly | [](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/) | [Nightly](http://ibmz-ci.osuosl.org/job/TensorFlow_IBMZ_CI/)
**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/)
**Linux ppc64le CPU** Nightly | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Build/) | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_CPU_Nightly_Artifact/)
**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/)
**Linux ppc64le GPU** Nightly | [](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Build/) | [Nightly](https://powerci.osuosl.org/job/TensorFlow_PPC64LE_GPU_Nightly_Artifact/)
**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/)
**Linux aarch64 CPU** Nightly (Linaro)
Python 3.8 | [](https://ci.linaro.org/jenkins/job/ldcg-hpc-tensorflow/) | [Nightly](http://snapshots.linaro.org/hpc/python/tensorflow/latest/)
**Linux aarch64 CPU** Stable Release (Linaro) | [](https://ci.linaro.org/jenkins/job/ldcg-hpc-tensorflow/) | Release [1.x & 2.x](http://snapshots.linaro.org/hpc/python/tensorflow/latest/)
**Linux aarch64 CPU** Nightly (OpenLab)
Python 3.6 | [](https://status.openlabtesting.org/builds/builds?project=tensorflow%2Ftensorflow&job_name=tensorflow-arm64-build-daily-master) | [Nightly](https://status.openlabtesting.org/builds/builds?project=tensorflow%2Ftensorflow&job_name=tensorflow-arm64-build-daily-master)
**Linux aarch64 CPU** Stable Release (OpenLab) | [](http://status.openlabtesting.org/builds?project=tensorflow%2Ftensorflow&job_name=tensorflow-v2.1.0-cpu-arm64-release-build-show&job_name=tensorflow-v1.15.3-cpu-arm64-release-build-show) | Release [1.15](http://status.openlabtesting.org/builds?project=tensorflow%2Ftensorflow&job_name=tensorflow-v1.15.3-cpu-arm64-release-build-show) / [2.x](http://status.openlabtesting.org/builds?project=tensorflow%2Ftensorflow&job_name=tensorflow-v2.1.0-cpu-arm64-release-build-show)
**Linux CPU with Intel oneAPI Deep Neural Network Library (oneDNN)** Nightly | [](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/) | [Nightly](https://tensorflow-ci.intel.com/job/tensorflow-mkl-build-whl-nightly/)
**Linux CPU with Intel oneAPI Deep Neural Network Library (oneDNN)** Stable Release |  | Release [1.15](https://pypi.org/project/intel-tensorflow/1.15.0/) / [2.x](https://pypi.org/project/intel-tensorflow/)
**Red Hat® Enterprise Linux® 7.6 CPU & GPU**
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/)
### Community Supported Containers
Container Type | Status | Artifacts
----------------------------------------------------------------- | ------ | ---------
**TensorFlow aarch64 Neoverse-N1 CPU** Stable (Linaro)
Debian | Static | Release [2.3](https://hub.docker.com/r/linaro/tensorflow-arm-neoverse-n1)
## 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)
* [DeepLearning.AI TensorFlow Developer Professional Certificate](https://www.coursera.org/specializations/tensorflow-in-practice)
* [TensorFlow: Data and Deployment from Coursera](https://www.coursera.org/specializations/tensorflow-data-and-deployment)
* [Getting Started with TensorFlow 2 from Coursera](https://www.coursera.org/learn/getting-started-with-tensor-flow2)
* [Intro to TensorFlow for Deep Learning from Udacity](https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187)
* [Introduction to TensorFlow Lite from Udacity](https://www.udacity.com/course/intro-to-tensorflow-lite--ud190)
* [Machine Learning with TensorFlow on GCP](https://www.coursera.org/specializations/machine-learning-tensorflow-gcp)
* [TensorFlow Codelabs](https://codelabs.developers.google.com/?cat=TensorFlow)
* [TensorFlow Chat Room on StackOverflow (not actively monitored by the
TensorFlow team)](https://chat.stackoverflow.com/rooms/216694/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 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)
Learn more about the
[TensorFlow community](https://www.tensorflow.org/community) and how to
[contribute](https://www.tensorflow.org/community/contribute).
## License
[Apache License 2.0](LICENSE)
