KR102158683B1 - 외부 메모리로 신경망들 증강 - Google Patents
외부 메모리로 신경망들 증강 Download PDFInfo
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- KR102158683B1 KR102158683B1 KR1020187017730A KR20187017730A KR102158683B1 KR 102158683 B1 KR102158683 B1 KR 102158683B1 KR 1020187017730 A KR1020187017730 A KR 1020187017730A KR 20187017730 A KR20187017730 A KR 20187017730A KR 102158683 B1 KR102158683 B1 KR 102158683B1
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- G06N3/0445—
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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
- G06N3/08—Learning methods
- G06N3/082—Learning methods modifying the architecture, e.g. adding, deleting or silencing nodes or connections
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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
- G06N3/044—Recurrent networks, e.g. Hopfield networks
- G06N3/0442—Recurrent networks, e.g. Hopfield networks characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
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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
- G06N3/0499—Feedforward networks
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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
- G06N3/08—Learning methods
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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
- G06N3/08—Learning methods
- G06N3/09—Supervised learning
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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
- G06N3/08—Learning methods
- G06N3/092—Reinforcement learning
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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
- G06N3/06—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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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
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- 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)
- Image Analysis (AREA)
- Image Processing (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201562265912P | 2015-12-10 | 2015-12-10 | |
| US62/265,912 | 2015-12-10 | ||
| PCT/US2016/066020 WO2017100711A1 (en) | 2015-12-10 | 2016-12-09 | Augmenting neural networks with external memory |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| KR20180091850A KR20180091850A (ko) | 2018-08-16 |
| KR102158683B1 true KR102158683B1 (ko) | 2020-09-22 |
Family
ID=57708799
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| KR1020187017730A Active KR102158683B1 (ko) | 2015-12-10 | 2016-12-09 | 외부 메모리로 신경망들 증강 |
Country Status (6)
| Country | Link |
|---|---|
| US (3) | US10832134B2 (enExample) |
| EP (1) | EP3371747B1 (enExample) |
| JP (1) | JP6651629B2 (enExample) |
| KR (1) | KR102158683B1 (enExample) |
| CN (1) | CN108431832B (enExample) |
| WO (1) | WO2017100711A1 (enExample) |
Families Citing this family (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10044751B2 (en) * | 2015-12-28 | 2018-08-07 | Arbor Networks, Inc. | Using recurrent neural networks to defeat DNS denial of service attacks |
| US20180189266A1 (en) * | 2017-01-03 | 2018-07-05 | Wipro Limited | Method and a system to summarize a conversation |
| WO2018142378A1 (en) * | 2017-02-06 | 2018-08-09 | Deepmind Technologies Limited | Memory augmented generative temporal models |
| US11037330B2 (en) * | 2017-04-08 | 2021-06-15 | Intel Corporation | Low rank matrix compression |
| US11243944B2 (en) * | 2017-06-29 | 2022-02-08 | Futurewei Technologies, Inc. | Dynamic semantic networks for language understanding and question answering |
| CN107508866B (zh) * | 2017-08-08 | 2020-10-02 | 重庆大学 | 减小移动设备端神经网络模型更新的传输消耗的方法 |
| US11188820B2 (en) | 2017-09-08 | 2021-11-30 | International Business Machines Corporation | Deep neural network performance analysis on shared memory accelerator systems |
| US10853725B2 (en) * | 2018-05-18 | 2020-12-01 | Deepmind Technologies Limited | Neural networks with relational memory |
| JP6906478B2 (ja) * | 2018-05-23 | 2021-07-21 | 株式会社東芝 | 情報処理装置、情報処理方法、およびプログラム |
| KR102788532B1 (ko) | 2018-05-30 | 2025-03-31 | 삼성전자주식회사 | 뉴럴 네트워크 시스템, 이를 포함하는 어플리케이션 프로세서 및 뉴럴 네트워크 시스템의 동작방법 |
| US11775815B2 (en) * | 2018-08-10 | 2023-10-03 | Samsung Electronics Co., Ltd. | System and method for deep memory network |
| US20200090035A1 (en) * | 2018-09-19 | 2020-03-19 | International Business Machines Corporation | Encoder-decoder memory-augmented neural network architectures |
| WO2020064988A1 (en) | 2018-09-27 | 2020-04-02 | Deepmind Technologies Limited | Scalable and compressive neural network data storage system |
| CN110377342B (zh) * | 2019-06-10 | 2022-08-30 | 平安科技(深圳)有限公司 | 基于卷积神经网络的显存处理方法、装置及存储介质 |
| CN112149049A (zh) | 2019-06-26 | 2020-12-29 | 北京百度网讯科技有限公司 | 用于变换矩阵的装置和方法、数据处理系统 |
| US11651209B1 (en) * | 2019-10-02 | 2023-05-16 | Google Llc | Accelerated embedding layer computations |
| US11461645B2 (en) * | 2019-12-02 | 2022-10-04 | International Business Machines Corporation | Initialization of memory networks |
| US11604976B2 (en) | 2020-04-29 | 2023-03-14 | International Business Machines Corporation | Crossbar arrays for computations in memory-augmented neural networks |
| US20220245217A1 (en) * | 2021-01-29 | 2022-08-04 | Oracle International Corporation | Adaptive Selection of Source Matrix Version for Matrix Multiply Operations |
| US20260072786A1 (en) * | 2024-09-10 | 2026-03-12 | SK Hynix Inc. | Read threshold prediction based on weight-sharing deep neural networks in non-volatile memory devices |
Family Cites Families (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5167006A (en) * | 1989-12-29 | 1992-11-24 | Ricoh Company, Ltd. | Neuron unit, neural network and signal processing method |
| US6092018A (en) * | 1996-02-05 | 2000-07-18 | Ford Global Technologies, Inc. | Trained neural network engine idle speed control system |
| AU5804100A (en) * | 1999-05-24 | 2000-12-12 | Ip Century Ag | Neuronal network for computer-assisted knowledge management |
| US20050041453A1 (en) * | 2003-08-22 | 2005-02-24 | Brazis Paul W. | Method and apparatus for reading and writing to solid-state memory |
| GB0426982D0 (en) * | 2004-12-09 | 2005-01-12 | Secr Defence | Early detection of sepsis |
| US7747070B2 (en) * | 2005-08-31 | 2010-06-29 | Microsoft Corporation | Training convolutional neural networks on graphics processing units |
| US8239611B2 (en) * | 2007-12-28 | 2012-08-07 | Spansion Llc | Relocating data in a memory device |
| US9514739B2 (en) * | 2012-06-06 | 2016-12-06 | Cypress Semiconductor Corporation | Phoneme score accelerator |
| US9141906B2 (en) * | 2013-03-13 | 2015-09-22 | Google Inc. | Scoring concept terms using a deep network |
| CN104657776B (zh) * | 2013-11-22 | 2018-06-05 | 华为技术有限公司 | 神经网络系统、基于神经网络系统的图像解析方法和装置 |
| CN103617235B (zh) * | 2013-11-26 | 2017-01-25 | 中国科学院信息工程研究所 | 一种基于粒子群算法的网络水军账号识别方法及系统 |
| US10366327B2 (en) * | 2014-01-31 | 2019-07-30 | Google Llc | Generating vector representations of documents |
| CN103824291B (zh) * | 2014-02-24 | 2017-01-11 | 哈尔滨工程大学 | 连续量子雁群算法演化脉冲耦合神经网络系统参数的自动图像分割方法 |
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2016
- 2016-12-09 JP JP2018530744A patent/JP6651629B2/ja active Active
- 2016-12-09 KR KR1020187017730A patent/KR102158683B1/ko active Active
- 2016-12-09 WO PCT/US2016/066020 patent/WO2017100711A1/en not_active Ceased
- 2016-12-09 CN CN201680072537.6A patent/CN108431832B/zh active Active
- 2016-12-09 US US15/374,974 patent/US10832134B2/en active Active
- 2016-12-09 EP EP16820464.2A patent/EP3371747B1/en active Active
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2020
- 2020-11-09 US US17/093,373 patent/US12299575B2/en active Active
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2025
- 2025-04-23 US US19/187,433 patent/US20250315676A1/en active Pending
Non-Patent Citations (2)
| Title |
|---|
| Graves, Alex, Greg Wayne, and Ivo Danihelka. "Neural turing machines." arXiv:1410.5401v1 (2014.10.20.)* |
| Weston, Jason, Sumit Chopra, and Antoine Bordes. "Memory networks." arXiv:1410.3916v11 (2015.11.29.)* |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108431832B (zh) | 2022-09-13 |
| US20170169332A1 (en) | 2017-06-15 |
| WO2017100711A1 (en) | 2017-06-15 |
| CN108431832A (zh) | 2018-08-21 |
| KR20180091850A (ko) | 2018-08-16 |
| US20250315676A1 (en) | 2025-10-09 |
| JP2018537788A (ja) | 2018-12-20 |
| JP6651629B2 (ja) | 2020-02-19 |
| EP3371747B1 (en) | 2023-07-19 |
| US10832134B2 (en) | 2020-11-10 |
| EP3371747A1 (en) | 2018-09-12 |
| US20210117801A1 (en) | 2021-04-22 |
| US12299575B2 (en) | 2025-05-13 |
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