1 <div align="center"> 2 <img src="https://www.tensorflow.org/images/tf_logo_transp.png"><br><br> 3 </div> 4 5 ----------------- 6 7 8 | **`Documentation`** | **`Linux CPU`** | **`Linux GPU`** | **`Mac OS CPU`** | **`Windows CPU`** | **`Android`** | 9 |-----------------|---------------------|------------------|-------------------|---------------|---------------| 10 | [](https://www.tensorflow.org/api_docs/) | [](https://ci.tensorflow.org/job/tensorflow-master-cpu) | [](https://ci.tensorflow.org/job/tensorflow-master-linux-gpu) | [](https://ci.tensorflow.org/job/tensorflow-master-mac) | [](https://ci.tensorflow.org/job/tensorflow-master-win-cmake-py) | [](https://ci.tensorflow.org/job/tensorflow-master-android) [  ](https://bintray.com/google/tensorflow/tensorflow/_latestVersion) 11 12 **TensorFlow** is an open source software library for numerical computation using 13 data flow graphs. The graph nodes represent mathematical operations, while 14 the graph edges represent the multidimensional data arrays (tensors) that flow 15 between them. This flexible architecture lets you deploy computation to one 16 or more CPUs or GPUs in a desktop, server, or mobile device without rewriting 17 code. TensorFlow also includes TensorBoard, a data visualization toolkit. 18 19 TensorFlow was originally developed by researchers and engineers 20 working on the Google Brain team within Google's Machine Intelligence Research 21 organization for the purposes of conducting machine learning and deep neural 22 networks research. The system is general enough to be applicable in a wide 23 variety of other domains, as well. 24 25 ## Installation 26 *See [Installing TensorFlow](https://www.tensorflow.org/get_started/os_setup.html) for instructions on how to install our release binaries or how to build from source.* 27 28 People who are a little more adventurous can also try our nightly binaries: 29 30 **Nightly pip packages** 31 * We are pleased to announce that TensorFlow now offers nightly pip packages 32 under the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and 33 [tf-nightly-gpu](https://pypi.python.org/pypi/tf-nightly-gpu) project on pypi. 34 Simply run `pip install tf-nightly` or `pip install tf-nightly-gpu` in a clean 35 environment to install the nightly TensorFlow build. We support CPU and GPU 36 packages on Linux, Mac, and Windows. 37 38 39 **Individual whl files** 40 * Linux CPU-only: [Python 2](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=cpu-slave/)) / [Python 3.4](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=cpu-slave/)) / [Python 3.5](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=cpu-slave/)) / [Python 3.6](http://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.6,label=cpu-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-cp36-cp36m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.6,label=cpu-slave/)) 41 * Linux GPU: [Python 2](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/42/artifact/pip_test/whl/tf_nightly_gpu-1.head-cp27-none-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=gpu-linux/)) / [Python 3.4](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly_gpu-1.head-cp34-cp34m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=gpu-linux/)) / [Python 3.5](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly_gpu-1.head-cp35-cp35m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.5,label=gpu-linux/)) / [Python 3.6](http://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.6,label=gpu-linux/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly_gpu-1.head-cp36-cp36m-linux_x86_64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-linux/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3.6,label=gpu-linux/)) 42 * Mac CPU-only: [Python 2](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-py2-none-any.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON2,label=mac-slave/)) / [Python 3](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/lastSuccessfulBuild/artifact/pip_test/whl/tf_nightly-1.head-py3-none-any.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-mac/TF_BUILD_IS_OPT=OPT,TF_BUILD_IS_PIP=PIP,TF_BUILD_PYTHON_VERSION=PYTHON3,label=mac-slave/)) 43 * Windows CPU-only: [Python 3.5 64-bit](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tf_nightly-1.head-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tf_nightly-1.head-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows,PY=36/)) 44 * Windows GPU: [Python 3.5 64-bit](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows-gpu,PY=35/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tf_nightly_gpu-1.head-cp35-cp35m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows-gpu,PY=35/)) / [Python 3.6 64-bit](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows-gpu,PY=36/lastSuccessfulBuild/artifact/cmake_build/tf_python/dist/tf_nightly_gpu-1.head-cp36-cp36m-win_amd64.whl) ([build history](https://ci.tensorflow.org/view/tf-nightly/job/tf-nightly-windows/M=windows-gpu,PY=36/)) 45 * Android: [demo APK](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/tensorflow_demo.apk), [native libs](https://ci.tensorflow.org/view/Nightly/job/nightly-android/lastSuccessfulBuild/artifact/out/native/) 46 ([build history](https://ci.tensorflow.org/view/Nightly/job/nightly-android/)) 47 48 #### *Try your first TensorFlow program* 49 ```shell 50 $ python 51 ``` 52 ```python 53 >>> import tensorflow as tf 54 >>> hello = tf.constant('Hello, TensorFlow!') 55 >>> sess = tf.Session() 56 >>> sess.run(hello) 57 'Hello, TensorFlow!' 58 >>> a = tf.constant(10) 59 >>> b = tf.constant(32) 60 >>> sess.run(a + b) 61 42 62 >>> sess.close() 63 ``` 64 65 ## Contribution guidelines 66 67 **If you want to contribute to TensorFlow, be sure to review the [contribution 68 guidelines](CONTRIBUTING.md). This project adheres to TensorFlow's 69 [code of conduct](CODE_OF_CONDUCT.md). By participating, you are expected to 70 uphold this code.** 71 72 **We use [GitHub issues](https://github.com/tensorflow/tensorflow/issues) for 73 tracking requests and bugs. So please see 74 [TensorFlow Discuss](https://groups.google.com/a/tensorflow.org/forum/#!forum/discuss) for general questions 75 and discussion, and please direct specific questions to [Stack Overflow](https://stackoverflow.com/questions/tagged/tensorflow).** 76 77 The TensorFlow project strives to abide by generally accepted best practices in open-source software development: 78 79 [](https://bestpractices.coreinfrastructure.org/projects/1486) 80 81 ## For more information 82 83 * [TensorFlow Website](https://www.tensorflow.org) 84 * [TensorFlow White Papers](https://www.tensorflow.org/about/bib) 85 * [TensorFlow Model Zoo](https://github.com/tensorflow/models) 86 * [TensorFlow MOOC on Udacity](https://www.udacity.com/course/deep-learning--ud730) 87 * [TensorFlow Course at Stanford](https://web.stanford.edu/class/cs20si) 88 89 Learn more about the TensorFlow community at the [community page of tensorflow.org](https://www.tensorflow.org/community) for a few ways to participate. 90 91 ## License 92 93 [Apache License 2.0](LICENSE) 94
