offline train framework in diting group
Project description
Documentation |
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| 谛听组推荐系统离线训练框架 |
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.
TensorFlow provides stable Python and C++ APIs, as well as non-guaranteed backwards compatible API for other languages.
Keep up-to-date with release announcements and security updates by subscribing to announce@tensorflow.org. See all the mailing lists.
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 for CPU-only:
$ pip install tensorflow
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| Filename, size | File type | Python version | Upload date | Hashes |
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| Filename, size rslib-1.1.2.tar.gz (26.9 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
