Chainer: A Deep Learning Framework for Accelerating the Research Cycle

Seiya Tokui, Ryosuke Okuta, Takuya Akiba, Yusuke Niitani, Toru Ogawa, Shunta Saito, Shuji Suzuki, Kota Uenishi, Brian Vogel, Hiroyuki Yamazaki Vincent. Chainer: A Deep Learning Framework for Accelerating the Research Cycle. In Ankur Teredesai, Vipin Kumar, Ying Li, RĂ³mer Rosales, Evimaria Terzi, George Karypis, editors, Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019. pages 2002-2011, ACM, 2019. [doi]

Abstract

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