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アナログメモリを使用した等価精度の加速ニューラルネットワークトレーニング

Stefano Ambrogio1, Pritish Narayanan1, Hsinyu Tsai1

  • 1IBM Research-Almaden, San Jose, CA, USA.

Nature
|June 8, 2018
PubMed
まとめ

この研究は,より速く,よりエネルギー効率の良いニューラルネットワークのトレーニングのための新しい混合ハードウェア-ソフトウェアアプローチを導入します. この新しい方法は,ソフトウェアのトレーニングに匹敵する分類精度を達成し,計算効率を大幅に高めます.

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