JPWO2021140643A1 - - Google Patents
Info
- Publication number
- JPWO2021140643A1 JPWO2021140643A1 JP2021569687A JP2021569687A JPWO2021140643A1 JP WO2021140643 A1 JPWO2021140643 A1 JP WO2021140643A1 JP 2021569687 A JP2021569687 A JP 2021569687A JP 2021569687 A JP2021569687 A JP 2021569687A JP WO2021140643 A1 JPWO2021140643 A1 JP WO2021140643A1
- Authority
- JP
- Japan
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
- G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/0499—Feedforward networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/098—Distributed learning, e.g. federated learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/044—Recurrent networks, e.g. Hopfield networks
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- General Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Molecular Biology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Neurology (AREA)
- Feedback Control In General (AREA)
- Multi Processors (AREA)
- Debugging And Monitoring (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2020/000644 WO2021140643A1 (ja) | 2020-01-10 | 2020-01-10 | ニューラルネットワークシステム、ニューラルネットワークの学習方法及びニューラルネットワークの学習プログラム |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JPWO2021140643A1 true JPWO2021140643A1 (https=) | 2021-07-15 |
| JP7453563B2 JP7453563B2 (ja) | 2024-03-21 |
Family
ID=76787793
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021569687A Active JP7453563B2 (ja) | 2020-01-10 | 2020-01-10 | ニューラルネットワークシステム、ニューラルネットワークの学習方法及びニューラルネットワークの学習プログラム |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US20220300790A1 (https=) |
| EP (1) | EP4089586A4 (https=) |
| JP (1) | JP7453563B2 (https=) |
| CN (1) | CN114930350A (https=) |
| WO (1) | WO2021140643A1 (https=) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7413528B2 (ja) * | 2021-12-03 | 2024-01-15 | 三菱電機株式会社 | 学習済モデル生成システム、学習済モデル生成方法、情報処理装置、プログラム、および推定装置 |
| US20250106120A1 (en) * | 2022-01-13 | 2025-03-27 | Lg Electronics Inc. | Method by which reception device performs end-to-end training in wireless communication system, reception device, processing device, storage medium, method by which transmission device performs end-to-end training, and transmission device |
| CN115169532A (zh) * | 2022-07-06 | 2022-10-11 | 北京灵汐科技有限公司 | 基于众核系统的神经网络训练方法及装置、电子设备 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019109875A (ja) * | 2017-12-18 | 2019-07-04 | 株式会社東芝 | システム、プログラム及び方法 |
| JP2019212111A (ja) * | 2018-06-06 | 2019-12-12 | 株式会社Ｐｒｅｆｅｒｒｅｄ Ｎｅｔｗｏｒｋｓ | 分散学習方法及び分散学習装置 |
| EP3591583A1 (en) * | 2018-07-04 | 2020-01-08 | Samsung Electronics Co., Ltd. | Neural network method and apparatus |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012079080A (ja) | 2010-10-01 | 2012-04-19 | Nippon Hoso Kyokai <Nhk> | パラメタ学習装置およびそのプログラム |
| JP6880774B2 (ja) | 2017-01-26 | 2021-06-02 | 日本電気株式会社 | 通信システム、分散計算システム、ノード、情報共有方法及びプログラム |
| CN110795228B (zh) * | 2018-08-03 | 2023-08-25 | 伊姆西Ip控股有限责任公司 | 用于训练深度学习模型的方法和制品、以及计算系统 |
| US10776164B2 (en) * | 2018-11-30 | 2020-09-15 | EMC IP Holding Company LLC | Dynamic composition of data pipeline in accelerator-as-a-service computing environment |
-
2020
- 2020-01-10 CN CN202080092251.0A patent/CN114930350A/zh active Pending
- 2020-01-10 JP JP2021569687A patent/JP7453563B2/ja active Active
- 2020-01-10 EP EP20912017.9A patent/EP4089586A4/en not_active Withdrawn
- 2020-01-10 WO PCT/JP2020/000644 patent/WO2021140643A1/ja not_active Ceased
-
2022
- 2022-06-06 US US17/832,733 patent/US20220300790A1/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2019109875A (ja) * | 2017-12-18 | 2019-07-04 | 株式会社東芝 | システム、プログラム及び方法 |
| JP2019212111A (ja) * | 2018-06-06 | 2019-12-12 | 株式会社Ｐｒｅｆｅｒｒｅｄ Ｎｅｔｗｏｒｋｓ | 分散学習方法及び分散学習装置 |
| EP3591583A1 (en) * | 2018-07-04 | 2020-01-08 | Samsung Electronics Co., Ltd. | Neural network method and apparatus |
Also Published As
| Publication number | Publication date |
|---|---|
| JP7453563B2 (ja) | 2024-03-21 |
| EP4089586A1 (en) | 2022-11-16 |
| US20220300790A1 (en) | 2022-09-22 |
| EP4089586A4 (en) | 2023-02-01 |
| WO2021140643A1 (ja) | 2021-07-15 |
| CN114930350A (zh) | 2022-08-19 |
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