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* Clarify and correct Android Sections Build Tools version updated to latest version shipping with Android Studio. Added some comments to clarify both this and NDK Level details that have been causing confusion. * Update Build Tools Version Android studio uses 25.0.2 now (I think) and complains about incorrect bulid tools version in gradle. This fixes it. Not sure if this is unique to my android studio though because I have latest version? * Requested changes to WORKSPACE for Android Clarification of comments to the android section at the top. Comments added to avoid common confusion. * Update Dockerfile.android to clarify build tools. I don't understand this dockerfile too much but I gather that this will download and use the correct build_tools_version regardless? Nonetheless, updated to 25.0.2 as a minimum and added a comment to assist troubleshooters in the future. * Update build_tools_version and add comment Added comment to clarify build_tools_version updates and changed it to 25.0.2 * Update WORKSPACE * Update WORKSPACE * Update Dockerfile.android * Update WORKSPACE * Updated for "the", lines and line wrapping |
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TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes 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.
If you'd like to contribute to TensorFlow, be sure to review the contribution guidelines.
We use GitHub issues for tracking requests and bugs, but please see Community for general questions and discussion.
Installation
See Installing TensorFlow for instructions on how to install our release binaries or how to build from source.
People who are a little more adventurous can also try our nightly binaries:
- Linux CPU-only: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
- Linux GPU: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history)
- Mac CPU-only: Python 2 (build history) / Python 3 (build history)
- Mac GPU: Python 2 (build history) / Python 3 (build history)
- Windows CPU-only: Python 3.5 64-bit (build history)
- Windows GPU: Python 3.5 64-bit (build history)
- Android: demo APK, native libs (build history)
Try your first TensorFlow program
$ python
>>> import tensorflow as tf
>>> hello = tf.constant('Hello, TensorFlow!')
>>> sess = tf.Session()
>>> sess.run(hello)
Hello, TensorFlow!
>>> a = tf.constant(10)
>>> b = tf.constant(32)
>>> sess.run(a+b)
42
>>>
For more information
The TensorFlow community has created amazing things with TensorFlow, please see the resources section of tensorflow.org for an incomplete list.