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Neural networks and deep learning : a textbook / Charu C. Aggarwal.

By: Material type: TextTextPublisher: Cham, Switzerland : Springer, 2018Description: 1 online resource (xxiii, 497 pages) : illustrations (some color)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783319944630
  • 3319944630
Subject(s): Genre/Form: DDC classification:
  • 006.3/2 23
LOC classification:
  • QA76.87
Online resources:
Contents:
1 An Introduction to Neural Networks.- 2 Machine Learning with Shallow Neural Networks.- 3 Training Deep Neural Networks.- 4 Teaching Deep Learners to Generalize.- 5 Radical Basis Function Networks.- 6 Restricted Boltzmann Machines.- 7 Recurrent Neural Networks.- 8 Convolutional Neural Networks.- 9 Deep Reinforcement Learning.- 10 Advanced Topics in Deep Learning.
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Item type Current library Call number Status
Цахим ном Цахим ном Эрдэм шинжилгээний номын сан 006.3/2 Available

Academic

Includes bibliographical references and index.

1 An Introduction to Neural Networks.- 2 Machine Learning with Shallow Neural Networks.- 3 Training Deep Neural Networks.- 4 Teaching Deep Learners to Generalize.- 5 Radical Basis Function Networks.- 6 Restricted Boltzmann Machines.- 7 Recurrent Neural Networks.- 8 Convolutional Neural Networks.- 9 Deep Reinforcement Learning.- 10 Advanced Topics in Deep Learning.

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English

Online resource; title from PDF title page (SpringerLink, viewed August 30, 2018).

Эрүүл Мэндийн Шинжлэх Ухааны Төв Номын Сан
ХАЯГ: Анагаахын Шинжлэх Ухааны Үндэсний Их Сургууль, С.Зоригийн гудамж, Ш/Х-48/111 Улаанбаатар хот 14210, Монгол Улс
УТАС: 11-320623| И-МЭЙЛ: library.support@mnums.edu.mn|ВЕБ: mnums.edu.mn