JP2022056611A5 - - Google Patents
Download PDFInfo
- Publication number
- JP2022056611A5 JP2022056611A5 JP2020164456A JP2020164456A JP2022056611A5 JP 2022056611 A5 JP2022056611 A5 JP 2022056611A5 JP 2020164456 A JP2020164456 A JP 2020164456A JP 2020164456 A JP2020164456 A JP 2020164456A JP 2022056611 A5 JP2022056611 A5 JP 2022056611A5
- Authority
- JP
- Japan
- Prior art keywords
- vector
- output
- upper layer
- node
- layer
- 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
- 239000013598 vector Substances 0.000 claims 46
- 210000002569 neuron Anatomy 0.000 claims 12
- 238000010801 machine learning Methods 0.000 claims 11
- 238000010606 normalization Methods 0.000 claims 11
- 230000010365 information processing Effects 0.000 claims 10
- 238000001228 spectrum Methods 0.000 claims 8
- 238000000034 method Methods 0.000 claims 5
- 238000013528 artificial neural network Methods 0.000 claims 3
- 238000004590 computer program Methods 0.000 claims 3
- 239000011159 matrix material Substances 0.000 claims 3
- 230000006870 function Effects 0.000 claims 1
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020164456A JP7537213B2 (ja) | 2020-09-30 | 2020-09-30 | 情報処理装置、演算方法、及び、コンピュータープログラム |
| US17/333,222 US20210374534A1 (en) | 2020-05-29 | 2021-05-28 | Information processing apparatus, arithmetic method, and non-temporary computer-readable medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2020164456A JP7537213B2 (ja) | 2020-09-30 | 2020-09-30 | 情報処理装置、演算方法、及び、コンピュータープログラム |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022056611A JP2022056611A (ja) | 2022-04-11 |
| JP2022056611A5 true JP2022056611A5 (https=) | 2023-07-27 |
| JP7537213B2 JP7537213B2 (ja) | 2024-08-21 |
Family
ID=81110937
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2020164456A Active JP7537213B2 (ja) | 2020-05-29 | 2020-09-30 | 情報処理装置、演算方法、及び、コンピュータープログラム |
Country Status (1)
| Country | Link |
|---|---|
| JP (1) | JP7537213B2 (https=) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN119940769B (zh) * | 2024-12-11 | 2026-04-28 | 武汉理工大学 | 一种基于帝国竞争算法的分布式制造的调度方法 |
Family Cites Families (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006164063A (ja) | 2004-12-09 | 2006-06-22 | Nec Corp | 特徴ベクトル正規化システム、特徴ベクトル正規化方法及び特徴ベクトル正規化用プログラム |
| US10049322B2 (en) | 2015-05-21 | 2018-08-14 | Google Llc | Prefetching weights for use in a neural network processor |
| CN107688823B (zh) | 2017-07-20 | 2018-12-04 | 北京三快在线科技有限公司 | 一种图像特征获取方法及装置，电子设备 |
| JP6901633B2 (ja) | 2017-10-27 | 2021-07-14 | グーグル エルエルシーＧｏｏｇｌｅ ＬＬＣ | カプセルニューラルネットワーク |
-
2020
- 2020-09-30 JP JP2020164456A patent/JP7537213B2/ja active Active
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US12271809B2 (en) | Apparatus and method for processing convolution operation of neural network | |
| Phan et al. | Stable low-rank tensor decomposition for compression of convolutional neural network | |
| KR102068576B1 (ko) | 합성곱 신경망 기반 이미지 처리 시스템 및 방법 | |
| Huynh et al. | Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks | |
| Montesinos López et al. | Convolutional neural networks | |
| Akusok et al. | High-performance extreme learning machines: a complete toolbox for big data applications | |
| US9129222B2 (en) | Method and apparatus for a local competitive learning rule that leads to sparse connectivity | |
| US20190130273A1 (en) | Sequence-to-sequence prediction using a neural network model | |
| CN114341891A (zh) | 神经网络剪枝 | |
| US5228113A (en) | Accelerated training apparatus for back propagation networks | |
| KR20180060257A (ko) | 객체 인식 방법 및 장치 | |
| Krak et al. | Analysis of deep learning methods in adaptation to the small data problem solving | |
| CN114897188A (zh) | 大规模数据处理方法 | |
| US20220374717A1 (en) | Method and apparatus for energy-aware deep neural network compression | |
| Rodriguez-Coayahuitl et al. | Structurally layered representation learning: Towards deep learning through genetic programming | |
| Yang et al. | A structure optimization framework for feed-forward neural networks using sparse representation | |
| Pikoulis et al. | A new clustering-based technique for the acceleration of deep convolutional networks | |
| JP2022056611A5 (https=) | ||
| US20200410340A1 (en) | Information processing device and information processing method | |
| CN115965571B (zh) | 增量自主学习的多源信息融合检测、模型训练方法和介质 | |
| JP2022072648A5 (https=) | ||
| Bilski et al. | Application of the givens rotations in the neural network learning algorithm | |
| Lawrence et al. | Matrix multiplication by neuromorphic computing | |
| Sossa et al. | Morphological neural networks with dendritic processing for pattern classification | |
| Singh et al. | Design a multi-objective optimization with dynamic and global filter pruning strategy for convolutional neural network |