JP2021522574A5 - - Google Patents

Info

Publication number
JP2021522574A5
JP2021522574A5 JP2020558533A JP2020558533A JP2021522574A5 JP 2021522574 A5 JP2021522574 A5 JP 2021522574A5 JP 2020558533 A JP2020558533 A JP 2020558533A JP 2020558533 A JP2020558533 A JP 2020558533A JP 2021522574 A5 JP2021522574 A5 JP 2021522574A5
Authority
JP
Japan
Prior art keywords
machine learning
learning model
training data
layers
aforementioned
Prior art date
Application number
JP2020558533A
Other languages
English (en)
Japanese (ja)
Other versions
JP7162074B2 (ja
JP2021522574A (ja
JPWO2019210237A5 (https=
Filing date
Publication date
Application filed filed Critical
Priority claimed from PCT/US2019/029450 external-priority patent/WO2019210237A1/en
Publication of JP2021522574A publication Critical patent/JP2021522574A/ja
Publication of JP2021522574A5 publication Critical patent/JP2021522574A5/ja
Publication of JPWO2019210237A5 publication Critical patent/JPWO2019210237A5/ja
Application granted granted Critical
Publication of JP7162074B2 publication Critical patent/JP7162074B2/ja
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

JP2020558533A 2018-04-27 2019-04-26 機械学習を行うための方法及びシステム Active JP7162074B2 (ja)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201862663955P 2018-04-27 2018-04-27
US62/663,955 2018-04-27
PCT/US2019/029450 WO2019210237A1 (en) 2018-04-27 2019-04-26 Method and system for performing machine learning

Publications (4)

Publication Number Publication Date
JP2021522574A JP2021522574A (ja) 2021-08-30
JP2021522574A5 true JP2021522574A5 (https=) 2022-04-07
JPWO2019210237A5 JPWO2019210237A5 (https=) 2022-04-07
JP7162074B2 JP7162074B2 (ja) 2022-10-27

Family

ID=68291171

Family Applications (1)

Application Number Title Priority Date Filing Date
JP2020558533A Active JP7162074B2 (ja) 2018-04-27 2019-04-26 機械学習を行うための方法及びシステム

Country Status (5)

Country Link
US (1) US11308395B2 (https=)
EP (1) EP3785179A4 (https=)
JP (1) JP7162074B2 (https=)
CN (1) CN111919226B (https=)
WO (1) WO2019210237A1 (https=)

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR102694572B1 (ko) * 2018-02-20 2024-08-13 삼성전자주식회사 완전 연결 네트워크의 데이터 입력 및 출력을 제어하는 방법 및 장치
TWI767122B (zh) * 2018-05-25 2022-06-11 宏達國際電子股份有限公司 模型建構方法、系統及非揮發性電腦可讀取記錄媒體
US10990850B1 (en) * 2018-12-12 2021-04-27 Amazon Technologies, Inc. Knowledge distillation and automatic model retraining via edge device sample collection
US11537436B2 (en) * 2019-10-02 2022-12-27 Qualcomm Incorporated Method of configuring a memory block allocation of a machine learning network
US20210201110A1 (en) * 2019-12-31 2021-07-01 Alibaba Group Holding Limited Methods and systems for performing inference with a neural network
CN111679959B (zh) * 2020-04-23 2025-04-01 平安科技(深圳)有限公司 计算机性能数据确定方法、装置、计算机设备及存储介质
US20210375441A1 (en) * 2020-05-29 2021-12-02 Regents Of The University Of Minnesota Using clinical notes for icu management
JP7537734B2 (ja) * 2020-08-24 2024-08-21 アシオット株式会社 情報処理装置、及びプログラム
DE102020124174A1 (de) * 2020-09-16 2022-03-17 Elektronische Fahrwerksysteme GmbH Verfahren zur Bereitstellung einer maschinell gelernten Steuerfunktion zur Fahrzeugsteuerung anhand bereitgestellter Fahrzeugsensordaten
WO2022168104A1 (en) * 2021-02-04 2022-08-11 Telefonaktiebolaget Lm Ericsson (Publ) Building an explainable machine learning model
US12125293B2 (en) * 2021-06-17 2024-10-22 Guangzhou Automobile Group Co., Ltd. System, method, and vehicle for recognition of traffic signs
EP4399644A1 (en) * 2021-10-06 2024-07-17 Google LLC Exploring heterogeneous characteristics of layers in asr models for more efficient training
JP7715036B2 (ja) * 2021-12-23 2025-07-30 コニカミノルタ株式会社 ニューラルネットワーク最適化方法、プログラム、および機械学習装置

Family Cites Families (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2703010B2 (ja) 1988-12-23 1998-01-26 株式会社日立製作所 ニユーラルネツト信号処理プロセツサ
US6760776B1 (en) * 2000-04-10 2004-07-06 International Business Machines Corporation Method and apparatus for processing network frames in a network processor by embedding network control information such as routing and filtering information in each received frame
US8402543B1 (en) * 2011-03-25 2013-03-19 Narus, Inc. Machine learning based botnet detection with dynamic adaptation
US9566710B2 (en) * 2011-06-02 2017-02-14 Brain Corporation Apparatus and methods for operating robotic devices using selective state space training
JP6042274B2 (ja) 2013-06-28 2016-12-14 株式会社デンソーアイティーラボラトリ ニューラルネットワーク最適化方法、ニューラルネットワーク最適化装置及びプログラム
JP6236296B2 (ja) 2013-11-14 2017-11-22 株式会社デンソーアイティーラボラトリ 学習装置、学習プログラム、及び学習方法
CN104751228B (zh) * 2013-12-31 2018-04-27 科大讯飞股份有限公司 用于语音识别的深度神经网络的构建方法及系统
CN103914735B (zh) * 2014-04-17 2017-03-29 北京泰乐德信息技术有限公司 一种基于神经网络自学习的故障识别方法及系统
CN104536891B (zh) * 2014-12-26 2017-07-11 小米科技有限责任公司 系统测试方法及装置
CN104679654A (zh) * 2015-02-26 2015-06-03 百度在线网络技术(北京)有限公司 测试应用程序的方法、设备及系统
CN104732231B (zh) 2015-04-13 2019-02-26 广州广电运通金融电子股份有限公司 一种有价票据的识别方法
CN104965790B (zh) * 2015-07-17 2018-04-27 小米科技有限责任公司 基于关键字驱动的软件测试方法及系统
US10885438B2 (en) * 2015-12-28 2021-01-05 Microsoft Technology Licensing, Llc Self-stabilized deep neural network
JP6480644B1 (ja) 2016-03-23 2019-03-13 グーグル エルエルシー マルチチャネル音声認識のための適応的オーディオ強化
CN105844300A (zh) * 2016-03-24 2016-08-10 河南师范大学 一种基于随机森林算法的优化分类方法及装置
CN106445806B (zh) * 2016-08-26 2019-09-17 北京小米移动软件有限公司 软件测试方法及装置
KR102619443B1 (ko) * 2016-09-30 2023-12-28 삼성전자주식회사 손목 온도 리듬 획득 장치 및 방법, 심부 체온 리듬 획득 장치 및 방법과, 웨어러블 디바이스
US20180096249A1 (en) * 2016-10-04 2018-04-05 Electronics And Telecommunications Research Institute Convolutional neural network system using adaptive pruning and weight sharing and operation method thereof
US10366302B2 (en) * 2016-10-10 2019-07-30 Gyrfalcon Technology Inc. Hierarchical category classification scheme using multiple sets of fully-connected networks with a CNN based integrated circuit as feature extractor
KR102415506B1 (ko) 2016-10-26 2022-07-01 삼성전자주식회사 뉴럴 네트워크 간소화 방법 및 장치
CN106775521B (zh) * 2016-11-29 2020-09-08 珠海市魅族科技有限公司 熄屏显示方法和装置
CN107300550A (zh) * 2017-06-21 2017-10-27 南京大学 一种基于bp神经网络模型预测大气重金属浓度的方法

Similar Documents

Publication Publication Date Title
JP2021522574A5 (https=)
JP2019071120A5 (https=)
CN107798390A (zh) 一种机器学习模型的训练方法、装置以及电子设备
JP2023072025A5 (ja) 情報処理システム、電子機器、情報処理方法、及びコンピュータプログラム
JP2013506199A5 (https=)
JP2012234520A5 (https=)
JP2018129033A5 (https=)
JP2017517082A5 (https=)
JPWO2020234984A5 (https=)
JP2016001502A5 (https=)
JPWO2021064787A5 (https=)
JP2018530074A5 (https=)
JPWO2019210237A5 (https=)
JP2020113319A5 (https=)
CN115688893B (zh) 内存调度方法及装置、电子设备和存储介质
CN111950579B (zh) 分类模型的训练方法和训练装置
JP6860084B2 (ja) 情報処理装置、情報処理方法及びプログラム
JP2019078857A5 (https=)
JP2019200657A (ja) 演算装置及び演算装置の制御方法
JP2020502687A5 (https=)
JP6828834B2 (ja) 論理計算装置、論理計算方法、およびプログラム
CN113128680B (zh) 一种神经网络训练方法、系统、设备以及介质
CN115599341A (zh) 二进制乘积累加系统和方法的超低功率和低面积解决方案
CN106844533B (zh) 一种数据分组聚集方法及装置
CN111542818A (zh) 一种网络模型数据存取方法、装置及电子设备