TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and 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.
To install the current release:
$ pip install tensorflow
tensorflow package also includes GPU support on Linux and Windows.
If package size is a concern, CPU-only packages can be installed with:
$ pip install tensorflow-cpu
Try your first TensorFlow program
>>> import tensorflow as tf >>> tf.enable_eager_execution() >>> tf.add(1, 2).numpy() 3 >>> hello = tf.constant('Hello, TensorFlow!') >>> hello.numpy() 'Hello, TensorFlow!'
For more examples, see the TensorFlow tutorials.
The TensorFlow project strives to abide by generally accepted best practices in open-source software development:
Continuous build status
|Raspberry Pi 0 and 1||Py2 Py3|
|Raspberry Pi 2 and 3||Py2 Py3|
Community Supported Builds
|Linux AMD ROCm GPU Nightly||Nightly|
|Linux AMD ROCm GPU Stable Release||Release|
|Linux s390x Nightly||Nightly|
|Linux s390x CPU Stable Release||Release|
|Linux ppc64le CPU Nightly||Nightly|
|Linux ppc64le CPU Stable Release||Release|
|Linux ppc64le GPU Nightly||Nightly|
|Linux ppc64le GPU Stable Release||Release|
|Linux CPU with Intel® MKL-DNN Nightly||Nightly|
|Linux CPU with Intel® MKL-DNN
Supports Python 2.7, 3.4, 3.5, and 3.6
|Red Hat® Enterprise Linux® 7.6 CPU & GPU
Python 2.7, 3.6
- TensorFlow tutorials
- TensorFlow official models
- TensorFlow examples
- TensorFlow in Practice from Coursera
- TensorFlow blog
- TensorFlow Twitter
- TensorFlow YouTube
- TensorFlow roadmap
- TensorFlow white papers
- TensorBoard visualization toolkit
Package tensorflow is a Go binding to TensorFlow.
|Package tensorflow is a Go binding to TensorFlow.|
Command genop generates a Go source file with functions for TensorFlow ops.
|Command genop generates a Go source file with functions for TensorFlow ops.|
Package internal generates Go source code with functions for TensorFlow operations.
|Package internal generates Go source code with functions for TensorFlow operations.|
Package op defines functions for adding TensorFlow operations to a Graph.
|Package op defines functions for adding TensorFlow operations to a Graph.|