diff --git a/README.md b/README.md index 5a66b9bb03a029ef7b070f26fdc0cfb99452a171..764655b652191ba89bd89b0bfc419f6a78ac95cc 100644 --- a/README.md +++ b/README.md @@ -2,61 +2,58 @@ ------------------ - - | **`Documentation`** | |-----------------| | [![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 -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://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 -organization for the purposes of conducting 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 and C APIs as well as non-guaranteed backwards -compatible API's for C++, Go, Java, JavaScript, and Swift. - -Keep up to date with release announcements and security updates by -subscribing to +[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 for +the purposes of conducting 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 backwards 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 -## Installation +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 for CPU-only: ``` -pip install tensorflow +$ pip install tensorflow ``` -Use the GPU package for CUDA-enabled GPU cards: +Use the GPU package for +[CUDA-enabled GPU cards](https://www.tensorflow.org/install/gpu): ``` -pip install tensorflow-gpu +$ pip install tensorflow-gpu ``` -*See [Installing TensorFlow](https://www.tensorflow.org/install) for detailed -instructions, and how to build from source.* - -People who are a little more adventurous can also try our nightly binaries: - -**Nightly pip packages** * We are pleased to announce that TensorFlow now offers -nightly pip packages under the +*Nightly binaries are available for testing using the [tf-nightly](https://pypi.python.org/pypi/tf-nightly) and -[tf-nightly-gpu](https://pypi.python.org/pypi/tf-nightly-gpu) project on PyPi. -Simply run `pip install tf-nightly` or `pip install tf-nightly-gpu` in a clean -environment to install the nightly TensorFlow build. We support CPU and GPU -packages on Linux, Mac, and Windows. +[tf-nightly-gpu](https://pypi.python.org/pypi/tf-nightly-gpu) packages on PyPi.* #### *Try your first TensorFlow program* @@ -74,8 +71,8 @@ $ python 'Hello, TensorFlow!' ``` -Learn more examples about how to do specific tasks in TensorFlow at the -[tutorials page of tensorflow.org](https://www.tensorflow.org/tutorials/). +For more examples, see the +[TensorFlow tutorials](https://www.tensorflow.org/tutorials/). ## Contribution guidelines @@ -126,20 +123,23 @@ Build Type **Linux CPU with Intel® MKL-DNN**
**Supports Python 2.7, 3.4, 3.5, and 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) | [1.13.1 pypi](https://pypi.org/project/intel-tensorflow/) **Red Hat® Enterprise Linux® 7.6 CPU & GPU**
Python 2.7, 3.6 | [![Build Status](https://jenkins-tensorflow.apps.ci.centos.org/buildStatus/icon?job=tensorflow-rhel7-3.6&build=2)](https://jenkins-tensorflow.apps.ci.centos.org/job/tensorflow-rhel7-3.6/2/) | [1.13.1 pypi](https://tensorflow.pypi.thoth-station.ninja/index/) -## For more information +## Resources -* [TensorFlow Website](https://www.tensorflow.org) -* [TensorFlow Tutorials](https://www.tensorflow.org/tutorials/) -* [TensorFlow Model Zoo](https://github.com/tensorflow/models) +* [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 in Practice from Coursera](https://www.coursera.org/specializations/tensorflow-in-practice) +* [TensorFlow blog](https://blog.tensorflow.org) * [TensorFlow Twitter](https://twitter.com/tensorflow) -* [TensorFlow Blog](https://blog.tensorflow.org) -* [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. +* [TensorFlow YouTube](https://www.youtube.com/channel/UC0rqucBdTuFTjJiefW5t-IQ) +* [TensorFlow roadmap](https://www.tensorflow.org/community/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