GB202215480D0 - A neural network training method and apparatus thereof - Google Patents

A neural network training method and apparatus thereof

Info

Publication number
GB202215480D0
GB202215480D0 GBGB2215480.1A GB202215480A GB202215480D0 GB 202215480 D0 GB202215480 D0 GB 202215480D0 GB 202215480 A GB202215480 A GB 202215480A GB 202215480 D0 GB202215480 D0 GB 202215480D0
Authority
GB
United Kingdom
Prior art keywords
neural network
training method
network training
neural
training
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.)
Pending
Application number
GBGB2215480.1A
Other versions
GB2623552A (en
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Continental Automotive Technologies GmbH
Original Assignee
Continental Automotive Technologies GmbH
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 Continental Automotive Technologies GmbH filed Critical Continental Automotive Technologies GmbH
Priority to GB2215480.1A priority Critical patent/GB2623552A/en
Publication of GB202215480D0 publication Critical patent/GB202215480D0/en
Priority to PCT/EP2023/078117 priority patent/WO2024083584A1/en
Publication of GB2623552A publication Critical patent/GB2623552A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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; CALCULATING OR 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; CALCULATING OR 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR 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
    • G06N3/094—Adversarial learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/50—Context or environment of the image
    • G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G06F40/295—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • G06F40/35—Discourse or dialogue representation
GB2215480.1A 2022-10-20 2022-10-20 A neural network training method and apparatus thereof Pending GB2623552A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
GB2215480.1A GB2623552A (en) 2022-10-20 2022-10-20 A neural network training method and apparatus thereof
PCT/EP2023/078117 WO2024083584A1 (en) 2022-10-20 2023-10-11 A neural network training method and apparatus thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GB2215480.1A GB2623552A (en) 2022-10-20 2022-10-20 A neural network training method and apparatus thereof

Publications (2)

Publication Number Publication Date
GB202215480D0 true GB202215480D0 (en) 2022-12-07
GB2623552A GB2623552A (en) 2024-04-24

Family

ID=84818463

Family Applications (1)

Application Number Title Priority Date Filing Date
GB2215480.1A Pending GB2623552A (en) 2022-10-20 2022-10-20 A neural network training method and apparatus thereof

Country Status (2)

Country Link
GB (1) GB2623552A (en)
WO (1) WO2024083584A1 (en)

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11704574B2 (en) * 2010-06-07 2023-07-18 Affectiva, Inc. Multimodal machine learning for vehicle manipulation
CN112329438B (en) * 2020-10-27 2024-03-08 中科极限元(杭州)智能科技股份有限公司 Automatic lie detection method and system based on domain countermeasure training

Also Published As

Publication number Publication date
GB2623552A (en) 2024-04-24
WO2024083584A1 (en) 2024-04-25

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