7.8.1[3]
/ 5 January 2022; 2 years ago (5 January 2022)
Repository
github.com/chainer/chainer
Written in
Python
Platform
cross-platform
Available in
Python
Type
Deep learning library
License
MIT
Website
chainer.org
Chainer is an open source deep learning framework written purely in Python on top of NumPy and CuPy Python libraries. The development is led by Japanese venture company Preferred Networks in partnership with IBM, Intel, Microsoft, and Nvidia.[4][5][6][7]
Chainer is notable for its early adoption of "define-by-run" scheme, as well as its performance on large scale systems.[1] The first version was released in June 2015 and has gained large popularity in Japan since then.[1][2] Furthermore, in 2017, it was listed by KDnuggets in top 10 open source machine learning Python projects.[8]
In December 2019, Preferred Networks announced the transition of its development effort from Chainer to PyTorch and it will only provide maintenance patches after releasing v7.[9]
^ abc"Big-in-Japan AI code 'Chainer' shows how Intel will gun for GPUs". The Register. 2017-04-07. Retrieved 2017-12-24.
^"Release 7.8.1". 5 January 2022. Retrieved 3 October 2022.
^"Chainer Homepage". Retrieved 2017-12-24.
^"IBM Wants to be "Red Hat" of Deep Learning". HPCwire. 2017-01-26. Retrieved 2017-09-08.
^"Intel Collaborating with Preferred Networks in Japan on Deep Learning". 2017-04-06. Retrieved 2017-12-24.
^"Microsoft partners with Preferred Networks to bring Chainer deep learning technology to Azure - MSPoweruser". MSPoweruser. 2017-05-23. Retrieved 2017-09-08.
^"Top 20 Python Machine Learning Open Source Projects". KDnuggets. 2017-11-24.
^"Preferred Networks Migrates its Deep Learning Research Platform to PyTorch". Preferred Networks, Inc. 2019-12-05. Retrieved 2019-12-27.
its development effort from Chainer to PyTorch and it will only provide maintenance patches after releasing v7. Chainer was the first deep learning framework...
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based on others' authority within the group. In a military context, the chain of command is the line of authority and responsibility along which orders...
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