CN108229667B - 基于人工神经网络类别的修剪 - Google Patents

基于人工神经网络类别的修剪 Download PDF

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CN108229667B
CN108229667B CN201711214867.7A CN201711214867A CN108229667B CN 108229667 B CN108229667 B CN 108229667B CN 201711214867 A CN201711214867 A CN 201711214867A CN 108229667 B CN108229667 B CN 108229667B
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CN108229667A (zh
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罗宾·赛博尔德
陈建丹
汉纳·比约格温斯多蒂尔
马丁·尔永奎斯特
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    • GPHYSICS
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    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/70Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/52Surveillance or monitoring of activities, e.g. for recognising suspicious objects

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CN201711214867.7A 2016-12-21 2017-11-28 基于人工神经网络类别的修剪 Active CN108229667B (zh)

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EP16205831.7 2016-12-21
EP16205831.7A EP3340129B1 (en) 2016-12-21 2016-12-21 Artificial neural network class-based pruning

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DE102019128715A1 (de) * 2019-10-24 2021-04-29 Krohne Messtechnik Gmbh Verfahren zur Erzeugung eines neuronalen Netzes für ein Feldgerät zur Vorhersage von Feldgerätfehlern und ein entsprechendes System
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US20180181867A1 (en) 2018-06-28
US10552737B2 (en) 2020-02-04
JP6755849B2 (ja) 2020-09-16
KR102110486B1 (ko) 2020-05-13
EP3340129B1 (en) 2019-01-30
KR20180072562A (ko) 2018-06-29
TWI698807B (zh) 2020-07-11
JP2018129033A (ja) 2018-08-16
CN108229667A (zh) 2018-06-29
TW201824093A (zh) 2018-07-01
EP3340129A1 (en) 2018-06-27

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