GB202314149D0 - Method and apparatus for deep machine learning - Google Patents

Method and apparatus for deep machine learning

Info

Publication number
GB202314149D0
GB202314149D0 GBGB2314149.2A GB202314149A GB202314149D0 GB 202314149 D0 GB202314149 D0 GB 202314149D0 GB 202314149 A GB202314149 A GB 202314149A GB 202314149 D0 GB202314149 D0 GB 202314149D0
Authority
GB
United Kingdom
Prior art keywords
machine learning
deep machine
deep
learning
machine
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
GBGB2314149.2A
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.)
Lancaster University
Original Assignee
Lancaster University
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 Lancaster University filed Critical Lancaster University
Priority to GBGB2314149.2A priority Critical patent/GB202314149D0/en
Publication of GB202314149D0 publication Critical patent/GB202314149D0/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
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
    • G06F18/24133—Distances to prototypes
    • G06F18/24137—Distances to cluster centroïds
    • 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
    • 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • 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
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G06N3/096—Transfer 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
    • G06N3/098—Distributed learning, e.g. federated learning

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • General Physics & Mathematics (AREA)
  • Software Systems (AREA)
  • Computing Systems (AREA)
  • Data Mining & Analysis (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • General Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Molecular Biology (AREA)
  • Mathematical Physics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
GBGB2314149.2A 2023-09-15 2023-09-15 Method and apparatus for deep machine learning Pending GB202314149D0 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
GBGB2314149.2A GB202314149D0 (en) 2023-09-15 2023-09-15 Method and apparatus for deep machine learning

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
GBGB2314149.2A GB202314149D0 (en) 2023-09-15 2023-09-15 Method and apparatus for deep machine learning

Publications (1)

Publication Number Publication Date
GB202314149D0 true GB202314149D0 (en) 2023-11-01

Family

ID=88507417

Family Applications (1)

Application Number Title Priority Date Filing Date
GBGB2314149.2A Pending GB202314149D0 (en) 2023-09-15 2023-09-15 Method and apparatus for deep machine learning

Country Status (1)

Country Link
GB (1) GB202314149D0 (en)

Similar Documents

Publication Publication Date Title
EP4163801A4 (en) Auxiliary implementation method and apparatus for online prediction using machine learning model
KR102378729B9 (en) Method and apparatus for determining optimized training scheme
GB202314149D0 (en) Method and apparatus for deep machine learning
EP4170560A4 (en) Machine learning training apparatus and operation method therefor
GB202304887D0 (en) Apparatus and method for refriferation
GB202308736D0 (en) Apparatus and method for creating bubbles
GB202305103D0 (en) Method and apparatus
GB202305060D0 (en) Apparatus and method
GB202305059D0 (en) Apparatus and method
GB202304891D0 (en) Apparatus and method
GB202304468D0 (en) Method and apparatus
GB202304469D0 (en) Method and apparatus
GB202304212D0 (en) Apparatus and method
GB202303811D0 (en) Apparatus and method
GB202303567D0 (en) Apparatus and method
GB202303482D0 (en) Apparatus and method
GB202303109D0 (en) Method and Apparatus
GB202302496D0 (en) Apparatus and method
GB202302178D0 (en) Apparatus and method
GB202301956D0 (en) Apparatus and method
GB202300016D0 (en) Method and apparatus
GB202219856D0 (en) Apparatus and method
GB202219434D0 (en) Method and apparatus
GB202218500D0 (en) Apparatus and Method
GB202218290D0 (en) Apparatus and method