MARC Close

• LDR

  03814cam a2200601 i 4500

• 001

  000000533282

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  20210114163600

• 006

  m d

• 007

  cr |||||||||||

• 008

  191025s2020 paua ob 001 0 eng

• 010

  ▼a  2019048559

• 020

  ▼a  9781799830979
  ▼q  electronic book

• 020

  ▼a  1799830977
  ▼q  electronic book

• 020

  ▼a  9781799830986
  ▼q  (electronic bk.)

• 020

  ▼a  1799830985
  ▼q  (electronic bk.)

• 020

  ▼z  9781799830955
  ▼q  hardcover

• 020

  ▼z  9781799830962
  ▼q  paperback

• 035

  ▼a  2506856
  ▼b  (N$T)

• 035

  ▼a  (OCoLC)1126391233

• 040

  ▼a  DLC
  ▼b  eng
  ▼e  rda
  ▼c  DLC
  ▼d  OCLCO
  ▼d  OCLCF
  ▼d  OCLCQ
  ▼d  IGIGL
  ▼d  YDX
  ▼d  N$T
  ▼d  248023

• 042

  ▼a  pcc

• 050

  ▼a  Q325.5
  ▼b  .M3216 2020

• 082

  ▼a  006.3/1
  ▼2  23

• 245

  ▼a  Machine learning and deep learning in real-time applications /:
  ▼c  Mehul Mahrishi, Kamal Kant Hiran, Gaurav Meena, Paawan Sharma [editors].

• 260

  ▼a  Hershey, PA:
  ▼b  Engineering Science Reference, an imprint of IGI Global,
  ▼c  [2020].

• 300

  ▼a  1 online resource (xx, 344 pages):
  ▼b  illustrations.

• 336

  ▼a  text
  ▼b  txt
  ▼2  rdacontent

• 337

  ▼a  computer
  ▼b  n
  ▼2  rdamedia

• 338

  ▼a  online resource
  ▼b  nc
  ▼2  rdacarrier

• 490

  ▼a  Advances in computer and electrical engineering (ACEE) book series

• 500

  ▼a  "Premier Reference Source" -- Front cover.

• 504

  ▼a  Includes bibliographical references and index.

• 505

  ▼a  Chapter 1. Obtaining deep learning models for automatic classification of leukocytes -- Chapter 2. Deep leaning using keras -- Chapter 3. Deep learning with pytorch -- Chapter 4. Deep learning with tensorflow -- Chapter 5. Employee's attrition prediction using machine learning approaches -- Chapter 6. A novel deep learning method for identification of cancer genes from gene expression dataset -- Chapter 7. Machine learning in authentication of digital audio recordings -- Chapter 8. Deep convolutional neural network-based analysis for breast cancer histology images -- Chapter 9. Deep learning in engineering education: performance prediction using cuckoo-based hybrid classification -- Chapter 10. Malaria detection system using convolutional neural network algorithm -- Chapter 11. An introduction to deep convolutional neural networks with keras -- Chapter 12. Emotion recognition with facial expression using machine learning for social network and healthcare -- Chapter 13. Text separation from document images: a deep learning approach.

• 520

  ▼a  "This book examines recent advancements in deep learning libraries, frameworks and algorithms. It also explores the multidisciplinary applications of machine learning and deep learning in real world"--
  ▼c  Provided by publisher.

• 588

  ▼a  Description based on online resource; title from digital title page (viewed on July 07, 2020).

• 590

  ▼a  Added to collection customer.56279.3

• 650

  ▼a  Machine learning.

• 650

  ▼a  Real-time data processing.

• 650

  ▼a  Machine learning.
  ▼2  fast
  ▼0  (OCoLC)fst01004795

• 650

  ▼a  Real-time data processing.
  ▼2  fast
  ▼0  (OCoLC)fst01091219

• 655

  ▼a  Electronic books.

• 700

  ▼a  Mahrishi, Mehul,
  ▼d  1986-,
  ▼e  editor.

• 700

  ▼a  Hiran, Kamal Kant,
  ▼d  1982-,
  ▼e  editor.

• 700

  ▼a  Meena, Gaurav,
  ▼d  1987-,
  ▼e  editor.

• 700

  ▼a  Sharma, Paawan,
  ▼d  1983-,
  ▼e  editor.

• 776

  ▼i  Print version:
  ▼t  Machine learning and deep learning in real-time applications.
  ▼d  Hershey, PA : Engineering Science Reference, an imprint of IGI Global, [2020],
  ▼z  9781799830955
  ▼w  (DLC) 2019048558

• 830

  ▼a  Advances in computer and electrical engineering (ACEE) book series.

• 856

  ▼3  EBSCOhost
  ▼u  http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=2506856

• 938

  ▼a  IGI Global
  ▼b  IGIG
  ▼n  00240152

• 938

  ▼a  EBSCOhost
  ▼b  EBSC
  ▼n  2506856

• 990

  ▼a  강리원

• 991

  ▼a  eBook

• 994

  ▼a  92
  ▼b  N$T