tensorflow
Enrichment pendingAn Open Source Machine Learning Framework for Everyone
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Overview
An Open Source Machine Learning Framework for Everyone
Capability facts
- Languages
- c++
Source: github.language · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
[tf-nightly](https://pypi.python.org/pypi/tf-nightly) andSource link
Tags
README
Install
See the TensorFlow install guide for the pip package, to enable GPU support, use a Docker container, and build from source.
To install the current release, which includes support for CUDA-enabled GPU cards (Ubuntu and Windows):
pip install tensorflow
Other devices (DirectX and MacOS-metal) are supported using Device Plugins.
A smaller CPU-only TensorFlow package is also available:
pip install tensorflow-cpu
To update TensorFlow to the latest version, add the --upgrade flag to the
commands above.
Nightly binaries are available for testing using the tf-nightly and tf-nightly-cpu packages on PyPI.
Try your first TensorFlow program
$ python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
For more examples, see the TensorFlow Tutorials.
License
Apache License 2.0