| Linux CPU | Linux GPU | Mac OS CPU | Windows CPU | Android ||-----------------|---------------------|------------------|-------------------|---------------|| | | | | |

TensorFlow is an open source software library for numerical computation usingdata flow graphs. The graph nodes represent mathematical operations, whilethe graph edges represent the multidimensional data arrays (tensors) that flowbetween them. This flexible architecture lets you deploy computation to oneor more CPUs or GPUs in a desktop, server, or mobile device without rewritingcode. TensorFlow also includes TensorBoard, a data visualization toolkit.

TensorFlow was originally developed by researchers and engineersworking on the Google Brain team within Google's Machine Intelligence Researchorganization for the purposes of conducting machine learning and deep neuralnetworks research. The system is general enough to be applicable in a widevariety of other domains, as well.

If you want to contribute to TensorFlow, be sure to review the contributionguidelines. This project adheres to TensorFlow'scode of conduct. By participating, you are expected touphold this code.

We use GitHub issues fortracking requests and bugs. So please see TensorFlow Discuss for general questionsand discussion, and please direct specific questions to Stack Overflow.

The TensorFlow project strives to abide by generally accepted best practices in open-source software development:

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:

Nightly pip packages* We are pleased to announce that TensorFlow now offers nightly pip packagesunder the tf-nightly andtf-nightly-gpu project on pypi.Simply run pip install tf-nightly or pip install tf-nightly-gpu in a cleanenvironment to install the nightly TensorFlow build. We support CPU and GPUpackages on Linux, Mac, and Windows.

Individual whl files* Linux CPU-only: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history) / Python 3.6 (build history)* Linux GPU: Python 2 (build history) / Python 3.4 (build history) / Python 3.5 (build history) / Python 3.6 (build history)* Mac CPU-only: Python 2 (build history) / Python 3 (build history)* Windows CPU-only: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)* Windows GPU: Python 3.5 64-bit (build history) / Python 3.6 64-bit (build history)* Android: demo APK, native libs(build history)

Try your first TensorFlow program

shell$ python```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 sess.close() ```

For more information

• TensorFlow Website
• TensorFlow White Papers
• TensorFlow Model Zoo
• TensorFlow MOOC on Udacity
• TensorFlow Course at Stanford

Learn more about the TensorFlow community at the community page of tensorflow.org for a few ways to participate.

License

Apache License 2.0

wget https://archive.org/download/github.com-tensorflow-tensorflow_-_2018-02-05_16-56-22/tensorflow-tensorflow_-_2018-02-05_16-56-22.bundle

 git clone tensorflow-tensorflow_-_2018-02-05_16-56-22.bundle 

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