JPWO2020234984A5 - - Google Patents
Download PDFInfo
- Publication number
- JPWO2020234984A5 JPWO2020234984A5 JP2021519927A JP2021519927A JPWO2020234984A5 JP WO2020234984 A5 JPWO2020234984 A5 JP WO2020234984A5 JP 2021519927 A JP2021519927 A JP 2021519927A JP 2021519927 A JP2021519927 A JP 2021519927A JP WO2020234984 A5 JPWO2020234984 A5 JP WO2020234984A5
- Authority
- JP
- Japan
- Prior art keywords
- loss function
- gradient
- update process
- predicted
- calculated
- Prior art date
- 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
- 230000006870 function Effects 0.000 claims 57
- 238000000034 method Methods 0.000 claims 37
- 238000010801 machine learning Methods 0.000 claims 12
- 238000004590 computer program Methods 0.000 claims 4
- 238000004364 calculation method Methods 0.000 claims 2
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/020057 WO2020234984A1 (ja) | 2019-05-21 | 2019-05-21 | 学習装置、学習方法、コンピュータプログラム及び記録媒体 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2020234984A1 JPWO2020234984A1 (enExample) | 2020-11-26 |
| JPWO2020234984A5 true JPWO2020234984A5 (enExample) | 2022-02-08 |
| JP7276436B2 JP7276436B2 (ja) | 2023-05-18 |
Family
ID=73459090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021519927A Active JP7276436B2 (ja) | 2019-05-21 | 2019-05-21 | 学習装置、学習方法、コンピュータプログラム及び記録媒体 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US20220237416A1 (enExample) |
| JP (1) | JP7276436B2 (enExample) |
| WO (1) | WO2020234984A1 (enExample) |
Families Citing this family (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11593673B2 (en) * | 2019-10-07 | 2023-02-28 | Servicenow Canada Inc. | Systems and methods for identifying influential training data points |
| CN113011603B (zh) * | 2021-03-17 | 2025-01-10 | 深圳前海微众银行股份有限公司 | 模型参数更新方法、装置、设备、存储介质及程序产品 |
| CN113360851B (zh) * | 2021-06-22 | 2023-03-03 | 北京邮电大学 | 一种基于Gap-loss函数的工业流水线生产状态检测方法 |
| JP7732299B2 (ja) * | 2021-09-17 | 2025-09-02 | 沖電気工業株式会社 | 学習装置、学習方法およびプログラム |
| CN113849648B (zh) * | 2021-09-28 | 2024-09-20 | 平安科技(深圳)有限公司 | 分类模型训练方法、装置、计算机设备和存储介质 |
| WO2023245321A1 (zh) * | 2022-06-20 | 2023-12-28 | 北京小米移动软件有限公司 | 一种图像深度预测方法、装置、设备及存储介质 |
| CN115410054B (zh) * | 2022-08-11 | 2026-01-06 | 清华大学 | 场景生成方法、模型测试方法及模型训练方法 |
| US12555366B2 (en) * | 2022-09-15 | 2026-02-17 | Waymo Llc | Semantic segmentation neural network for point clouds |
| CN116295344B (zh) * | 2023-03-08 | 2025-10-24 | 北京易航远智科技有限公司 | 实时建图方法、装置、电子设备及存储介质 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170337481A1 (en) * | 2016-05-17 | 2017-11-23 | Xerox Corporation | Complex embeddings for simple link prediction |
| GB201615051D0 (en) * | 2016-09-05 | 2016-10-19 | Kheiron Medical Tech Ltd | Multi-modal medical image procesing |
| EP3725081A4 (en) * | 2017-12-13 | 2021-08-18 | Nokia Technologies Oy | DEVICE, METHOD AND COMPUTER PROGRAM FOR VIDEO ENCODING AND DECODING |
-
2019
- 2019-05-21 US US17/610,497 patent/US20220237416A1/en not_active Abandoned
- 2019-05-21 JP JP2021519927A patent/JP7276436B2/ja active Active
- 2019-05-21 WO PCT/JP2019/020057 patent/WO2020234984A1/ja not_active Ceased
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JPWO2020234984A5 (enExample) | ||
| CN111353588B (zh) | 用于执行人工神经网络反向训练的装置和方法 | |
| FI3779681T3 (fi) | Kiihdytin harvan-tiheän matriisin kertomista varten | |
| CN111260025B (zh) | 用于执行lstm神经网络运算的装置和运算方法 | |
| JP2020535546A5 (enExample) | ||
| JP2015011722A5 (enExample) | ||
| JP2017073160A5 (enExample) | ||
| JPWO2020159568A5 (enExample) | ||
| JP2012521591A5 (enExample) | ||
| JP2011512590A5 (enExample) | ||
| US11573765B2 (en) | Fused convolution and batch normalization for neural networks | |
| JPWO2021064787A5 (enExample) | ||
| JP2006048531A5 (enExample) | ||
| JP2019512126A5 (enExample) | ||
| JPWO2021113044A5 (enExample) | ||
| CN104793983A (zh) | 用于模拟自动化工业设备的方法和模拟装置 | |
| JP2019219741A5 (enExample) | ||
| JP2018189638A5 (enExample) | ||
| JP2018077822A5 (enExample) | ||
| JP2021082006A5 (enExample) | ||
| CN111160560B (zh) | 预估模拟量子计算所需资源的方法、系统 | |
| JPWO2021090518A5 (ja) | 学習装置、学習方法、及び、プログラム | |
| EP4024286A1 (en) | Computing method and apparatus for convolutional neural network model | |
| JPWO2021229630A5 (enExample) | ||
| JPWO2022044221A5 (ja) | 情報処理装置、情報処理方法、及び、プログラム |