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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. Chainer is notable for its early adoption of "" scheme, as well as its performance on large scale systems. The first version was released in June 2015 and has gained large popularity in Japan since then. Furthermore, in 2017, it was listed by KDnuggets in top 10 open source machine learning Python projects.

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  • Chainer
  • Chainer
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  • Chainer (チェイナー) は、ニューラルネットワークの計算および学習を行うためのオープンソースのソフトウェアライブラリである。バックプロパゲーションに必要なデータ構造をプログラムの実行時に動的に生成する特徴があり、複雑なニューラルネットワークの構築を必要とするディープラーニング（深層学習)で用いられる。Python 2.x系および3.x系から利用でき、GPUによる演算をサポートしている。株式会社Preferred Networks（PFN）からリリースされている。2019年12月5日、開発元のPFNは今後はChainerから、Facebookが主導して開発しているPyTorchに順次移行すると発表した。
  • 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. Chainer is notable for its early adoption of "" scheme, as well as its performance on large scale systems. The first version was released in June 2015 and has gained large popularity in Japan since then. Furthermore, in 2017, it was listed by KDnuggets in top 10 open source machine learning Python projects.
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  • Chainer
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  • Chainer
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  • Chainer (チェイナー) は、ニューラルネットワークの計算および学習を行うためのオープンソースのソフトウェアライブラリである。バックプロパゲーションに必要なデータ構造をプログラムの実行時に動的に生成する特徴があり、複雑なニューラルネットワークの構築を必要とするディープラーニング（深層学習)で用いられる。Python 2.x系および3.x系から利用でき、GPUによる演算をサポートしている。株式会社Preferred Networks（PFN）からリリースされている。2019年12月5日、開発元のPFNは今後はChainerから、Facebookが主導して開発しているPyTorchに順次移行すると発表した。
  • 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. Chainer is notable for its early adoption of "" scheme, as well as its performance on large scale systems. The first version was released in June 2015 and has gained large popularity in Japan since then. Furthermore, in 2017, it was listed by KDnuggets in top 10 open source machine learning Python projects. 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.
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  • Seiya Tokui
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  • Python
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  • Community, Preferred Networks, Inc.
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  • Deep learning library
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  • cross-platform
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