JP2021503662A5 - - Google Patents

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JP2021503662A5
JP2021503662A5 JP2020527768A JP2020527768A JP2021503662A5 JP 2021503662 A5 JP2021503662 A5 JP 2021503662A5 JP 2020527768 A JP2020527768 A JP 2020527768A JP 2020527768 A JP2020527768 A JP 2020527768A JP 2021503662 A5 JP2021503662 A5 JP 2021503662A5
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Japan
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data
loss function
processor
model
auxiliary
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JP2020527768A
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Japanese (ja)
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JP2021503662A (ja
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Priority claimed from PCT/EP2018/081838 external-priority patent/WO2019097071A1/en
Publication of JP2021503662A publication Critical patent/JP2021503662A/ja
Publication of JP2021503662A5 publication Critical patent/JP2021503662A5/ja
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JP2020527768A 2017-11-20 2018-11-20 ニューラルネットワークのモデルの訓練 Pending JP2021503662A (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201762588575P 2017-11-20 2017-11-20
US62/588,575 2017-11-20
PCT/EP2018/081838 WO2019097071A1 (en) 2017-11-20 2018-11-20 Training a neural network model

Publications (2)

Publication Number Publication Date
JP2021503662A JP2021503662A (ja) 2021-02-12
JP2021503662A5 true JP2021503662A5 (https=) 2022-01-04

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JP2020527768A Pending JP2021503662A (ja) 2017-11-20 2018-11-20 ニューラルネットワークのモデルの訓練

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US (1) US20190156204A1 (https=)
EP (1) EP3714405A1 (https=)
JP (1) JP2021503662A (https=)
CN (1) CN111656372A (https=)
WO (1) WO2019097071A1 (https=)

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