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Press release
2017年12月12日 11時00分
Source:
NEC Corporation
NEC、認識精度の向上を容易に実現するディープラーニングの自動最適化技術を開発
東京, Dec 12, 2017 - (JCN Newswire) - NECは、認識精度の向上を容易に実現する、ディープラーニングの自動最適化技術を開発しました。
従来のディープラーニングは、ニューラルネットワーク(注1)の構造に応じた学習の調整が困難なため、ネットワーク全体で最適な学習が行えず、本来の認識性能を十分に引き出すことができませんでした。本技術は、ニューラルネットワークの学習の進み具合を、その構造に応じて自動的に最適化し、従来よりも高い認識精度を容易に実現するものです。
本技術により、画像認識や音声認識などのディープラーニングが利用されている様々な分野で、認識精度の向上が期待できます。例えば、顔認証や行動解析などの映像監視の高精度化、インフラなどの点検作業の効率化、障害・事故や災害などの自動検知の実現が期待できます。
NECグループは、安全・安心・効率・公平という社会価値を創造する「社会ソリューション事業」をグローバルに推進しています。当社は、先進ICTや知見を融合し、人々がより明るく豊かに生きる、効率的で洗練された社会を実現していきます。
本リリースの詳細は下記をご参照ください。
http://jpn.nec.com/press/201712/20171212_02.html
概要：日本電気株式会社（NEC)
詳細は www.nec.co.jp をご覧ください。
Source: NEC Corporation
セクター: IT
Copyright ©2024 JCN Newswire. All rights reserved. A division of Japan Corporate News Network.
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