Normal view MARC view

Entry Topical Term

Number of records used in: 1

001 - CONTROL NUMBER

  • control field: 6563

003 - CONTROL NUMBER IDENTIFIER

  • control field: EG-CaNGU

005 - DATE AND TIME OF LATEST TRANSACTION

  • control field: 20250209110926.0

008 - FIXED-LENGTH DATA ELEMENTS

  • fixed length control field: 210818in azznnbabn a ana d

040 ## - CATALOGING SOURCE

  • Original cataloging agency: DLC
  • Language of cataloging: eng
  • Transcribing agency: DLC
  • Modifying agency: EG-CaNGU
  • Description conventions: rda
  • Subject heading/thesaurus conventions: NGU-sh

150 ## - HEADING--TOPICAL TERM

  • Topical term or geographic name entry element: Deep learning (Machine learning)

450 ## - SEE FROM TRACING--TOPICAL TERM

  • Topical term or geographic name entry element: Learning, Deep (Machine learning)

550 ## - SEE ALSO FROM TRACING--TOPICAL TERM

  • Control subfield: g
  • Topical term or geographic name entry element: Iterative methods (Mathematics)

550 ## - SEE ALSO FROM TRACING--TOPICAL TERM

  • Control subfield: g
  • Topical term or geographic name entry element: Machine learning

670 ## - SOURCE DATA FOUND

  • Source citation: Work cat: Ghayoumi, Mehdi. Deep learning in practice, 2022:
  • Information found: pub. info. (learn how to develop and optimize a model for projects using Deep Learning (DL) methods and architectures)
  • Bibliographic record control number: (DLC)2021030250

670 ## - SOURCE DATA FOUND

  • Source citation: TechTarget.com, retrieved on August 19, 2021
  • Information found: (Deep learning is a type of machine learning and artificial intelligence (AI) that imitates the way humans gain certain types of knowledge; deep learning can be thought of as a way to automate predictive analytics. While traditional machine learning algorithms are linear, deep learning algorithms are stacked in a hierarchy of increasing complexity and abstraction. Each algorithm in the hierarchy applies a nonlinear transformation to its input and uses what it learns to create a statistical model as output. Iterations continue until the output has reached an acceptable level of accuracy)