JPWO2021084717A1 - - Google Patents
Info
- Publication number
- JPWO2021084717A1 JPWO2021084717A1 JP2021554008A JP2021554008A JPWO2021084717A1 JP WO2021084717 A1 JPWO2021084717 A1 JP WO2021084717A1 JP 2021554008 A JP2021554008 A JP 2021554008A JP 2021554008 A JP2021554008 A JP 2021554008A JP WO2021084717 A1 JPWO2021084717 A1 JP WO2021084717A1
- 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
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F7/00—Methods or arrangements for processing data by operating upon the order or content of the data handled
- G06F7/38—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation
- G06F7/48—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices
- G06F7/544—Methods or arrangements for performing computations using exclusively denominational number representation, e.g. using binary, ternary, decimal representation using non-contact-making devices, e.g. tube, solid state device; using unspecified devices for evaluating functions by calculation
- G06F7/5443—Sum of products
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
-
- 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
-
- 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)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Mathematical Physics (AREA)
- Biomedical Technology (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Software Systems (AREA)
- Molecular Biology (AREA)
- General Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Computational Linguistics (AREA)
- Artificial Intelligence (AREA)
- Neurology (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Design And Manufacture Of Integrated Circuits (AREA)
- Complex Calculations (AREA)
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2019/042927 WO2021084717A1 (ja) | 2019-10-31 | 2019-10-31 | 情報処理回路および情報処理回路の設計方法 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JPWO2021084717A1 true JPWO2021084717A1 (https=) | 2021-05-06 |
| JPWO2021084717A5 JPWO2021084717A5 (https=) | 2022-06-27 |
| JP7310910B2 JP7310910B2 (ja) | 2023-07-19 |
Family
ID=75714945
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2021554008A Active JP7310910B2 (ja) | 2019-10-31 | 2019-10-31 | 情報処理回路および情報処理回路の設計方法 |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20220413806A1 (https=) |
| JP (1) | JP7310910B2 (https=) |
| TW (1) | TWI830940B (https=) |
| WO (1) | WO2021084717A1 (https=) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP7456501B2 (ja) * | 2020-05-26 | 2024-03-27 | 日本電気株式会社 | 情報処理回路および情報処理回路の設計方法 |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004086374A (ja) * | 2002-08-23 | 2004-03-18 | Ricoh Co Ltd | 半導体装置 |
| JP2018124754A (ja) * | 2017-01-31 | 2018-08-09 | 日本電信電話株式会社 | 多層ニューラルネットの大局構造抽出装置、方法、及びプログラム |
| JP2018132830A (ja) * | 2017-02-13 | 2018-08-23 | ＬｅａｐＭｉｎｄ株式会社 | ニューラルネットワーク構築方法、ニューラルネットワーク装置及びニューラルネットワーク装置更新方法 |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10552732B2 (en) * | 2016-08-22 | 2020-02-04 | Kneron Inc. | Multi-layer neural network |
| US11586907B2 (en) * | 2018-02-27 | 2023-02-21 | Stmicroelectronics S.R.L. | Arithmetic unit for deep learning acceleration |
| JP2019168851A (ja) * | 2018-03-22 | 2019-10-03 | 東芝メモリ株式会社 | 演算装置及び演算方法 |
| CN108764467B (zh) * | 2018-04-04 | 2021-08-17 | 北京大学深圳研究生院 | 用于卷积神经网络卷积运算和全连接运算电路 |
| WO2020095140A1 (ja) * | 2018-11-08 | 2020-05-14 | 株式会社半導体エネルギー研究所 | 半導体装置、及び電子機器 |
-
2019
- 2019-10-31 WO PCT/JP2019/042927 patent/WO2021084717A1/ja not_active Ceased
- 2019-10-31 JP JP2021554008A patent/JP7310910B2/ja active Active
- 2019-10-31 US US17/771,143 patent/US20220413806A1/en active Pending
-
2020
- 2020-08-24 TW TW109128738A patent/TWI830940B/zh active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2004086374A (ja) * | 2002-08-23 | 2004-03-18 | Ricoh Co Ltd | 半導体装置 |
| JP2018124754A (ja) * | 2017-01-31 | 2018-08-09 | 日本電信電話株式会社 | 多層ニューラルネットの大局構造抽出装置、方法、及びプログラム |
| JP2018132830A (ja) * | 2017-02-13 | 2018-08-23 | ＬｅａｐＭｉｎｄ株式会社 | ニューラルネットワーク構築方法、ニューラルネットワーク装置及びニューラルネットワーク装置更新方法 |
Non-Patent Citations (1)
| Title |
|---|
| WHATMOUGH PAUL N. ET AL.: "FIXYNN: EFFICIENT HARDWARE FOR MOBILE COMPUTER VISION VIA TRANSFER LEARNING", ARXIV.ORG [ONLINE], JPN6019050820, 27 February 2019 (2019-02-27), US, ISSN: 0005017301 * |
Also Published As
| Publication number | Publication date |
|---|---|
| TWI830940B (zh) | 2024-02-01 |
| US20220413806A1 (en) | 2022-12-29 |
| TW202119256A (zh) | 2021-05-16 |
| WO2021084717A1 (ja) | 2021-05-06 |
| JP7310910B2 (ja) | 2023-07-19 |
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