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MX2023008103A - Metodos y sistemas para modelos mejorados de aprendizaje profundo. - Google Patents

Metodos y sistemas para modelos mejorados de aprendizaje profundo.

Info

Publication number
MX2023008103A
MX2023008103A MX2023008103A MX2023008103A MX2023008103A MX 2023008103 A MX2023008103 A MX 2023008103A MX 2023008103 A MX2023008103 A MX 2023008103A MX 2023008103 A MX2023008103 A MX 2023008103A MX 2023008103 A MX2023008103 A MX 2023008103A
Authority
MX
Mexico
Prior art keywords
deep learning
systems
methods
learning models
improved deep
Prior art date
Application number
MX2023008103A
Other languages
English (en)
Inventor
Wen Zhang
Gurinder Atwal
Peter Hawkins
Original Assignee
Regeneron Pharma
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by Regeneron Pharma filed Critical Regeneron Pharma
Publication of MX2023008103A publication Critical patent/MX2023008103A/es

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
    • G06N3/08—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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of 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
    • G06N3/0455—Auto-encoder networks; Encoder-decoder 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
    • G06N3/0464—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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/0475—Generative 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
    • 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
    • G06N3/0985—Hyperparameter optimisation; Meta-learning; Learning-to-learn

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Electrically Operated Instructional Devices (AREA)
  • Feedback Control In General (AREA)
  • Combined Controls Of Internal Combustion Engines (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Machine Translation (AREA)

Abstract

En la presente, se describen métodos y sistemas para generar, entrenar y ajustar modelos de aprendizaje profundo. Los métodos y sistemas de la presente pueden proporcionar un marco generalizado para usar modelos de aprendizaje profundo para analizar registros de datos que comprendan una o más cadenas (p. ej., secuencias) de datos. A diferencia de los marcos y modelos de aprendizaje profundo ya existentes, que tienen un diseño específico para el problema o análisis en cuestión, el marco generalizado que se describe en la presente puede ser de aplicación para una amplia variedad de análisis de datos predictivos y/o generativos.
MX2023008103A 2021-01-08 2022-01-07 Metodos y sistemas para modelos mejorados de aprendizaje profundo. MX2023008103A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US202163135265P 2021-01-08 2021-01-08
PCT/US2022/011562 WO2022150556A1 (en) 2021-01-08 2022-01-07 Methods and systems for improved deep-learning models

Publications (1)

Publication Number Publication Date
MX2023008103A true MX2023008103A (es) 2023-07-14

Family

ID=80123428

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023008103A MX2023008103A (es) 2021-01-08 2022-01-07 Metodos y sistemas para modelos mejorados de aprendizaje profundo.

Country Status (10)

Country Link
US (1) US20220222526A1 (es)
EP (1) EP4275148A1 (es)
JP (1) JP7628617B2 (es)
KR (1) KR20230150947A (es)
CN (1) CN117242456A (es)
AU (1) AU2022206271B2 (es)
CA (1) CA3202896A1 (es)
IL (1) IL304114A (es)
MX (1) MX2023008103A (es)
WO (1) WO2022150556A1 (es)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7207309B2 (ja) * 2017-08-16 2023-01-18 ソニーグループ株式会社 プログラム、情報処理方法、および情報処理装置
US12367085B2 (en) * 2022-04-25 2025-07-22 Qliktech International Ab Machine learning methods and systems for application program interface management
US12111797B1 (en) 2023-09-22 2024-10-08 Storytellers.ai LLC Schema inference system
KR102685248B1 (ko) * 2023-12-07 2024-07-16 고등기술연구원연구조합 중대 재해 방지를 위한 작업자 위험 인자 감시를 수행하는 시스템 및 이의 작업자 위험 인자 감시 방법
US11961005B1 (en) * 2023-12-18 2024-04-16 Storytellers.ai LLC System for automated data preparation, training, and tuning of machine learning models

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3516598A4 (en) * 2016-09-21 2019-11-20 Equifax Inc. CONVERTING ATTRIBUTES TO TRAIN AUTOMATED MODELING SYSTEMS
CN109325541A (zh) * 2018-09-30 2019-02-12 北京字节跳动网络技术有限公司 用于训练模型的方法和装置
US10984246B2 (en) * 2019-03-13 2021-04-20 Google Llc Gating model for video analysis
US11587305B2 (en) * 2019-03-14 2023-02-21 Fujifilm Business Innovation Corp. System and method for learning sensory media association without using text labels
US11244205B2 (en) * 2019-03-29 2022-02-08 Microsoft Technology Licensing, Llc Generating multi modal image representation for an image
EP4217927A1 (en) * 2020-09-28 2023-08-02 Microsoft Technology Licensing, LLC Auxiliary model for predicting new model parameters
CN114519444A (zh) * 2020-11-18 2022-05-20 英业达科技有限公司 阶层式时间序列预测方法
US11460982B1 (en) * 2020-12-23 2022-10-04 Beijing Didi Infinity Technology And Development Co., Ltd. Number embedding application system

Also Published As

Publication number Publication date
IL304114A (en) 2023-09-01
EP4275148A1 (en) 2023-11-15
JP2024503036A (ja) 2024-01-24
JP7628617B2 (ja) 2025-02-10
AU2022206271B2 (en) 2024-11-14
CN117242456A (zh) 2023-12-15
CA3202896A1 (en) 2022-07-14
US20220222526A1 (en) 2022-07-14
AU2022206271A9 (en) 2025-01-30
AU2022206271A1 (en) 2023-07-27
WO2022150556A1 (en) 2022-07-14
KR20230150947A (ko) 2023-10-31

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