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عنوان
Neural networks and deep learning :

پدید آورنده
Charu C. Aggarwal.

موضوع
Machine learning.,Neural networks (Computer science),Artificial Intelligence.,Information Systems and Communication Service.,Processor Architectures.,Artificial intelligence.,Computer architecture & logic design.,Computer networking & communications.,Computers-- Intelligence (AI) & Semantics.,Computers-- Online Services-- General.,Computers-- Systems Architecture-- General.,Machine learning.,Neural networks (Computer science)

رده
QA76
.
87

کتابخانه
Center and Library of Islamic Studies in European Languages

محل استقرار
استان: Qom ـ شهر: Qom

Center and Library of Islamic Studies in European Languages

تماس با کتابخانه : 32910706-025

INTERNATIONAL STANDARD BOOK NUMBER

(Number (ISBN
3319944630
(Number (ISBN
3319944649
(Number (ISBN
9783319944630
(Number (ISBN
9783319944647
Erroneous ISBN
3319944622
Erroneous ISBN
9783319944623

NATIONAL BIBLIOGRAPHY NUMBER

Number
b624165

TITLE AND STATEMENT OF RESPONSIBILITY

Title Proper
Neural networks and deep learning :
General Material Designation
[Book]
Other Title Information
a textbook /
First Statement of Responsibility
Charu C. Aggarwal.

PHYSICAL DESCRIPTION

Specific Material Designation and Extent of Item
1 online resource (xxiii, 497 pages) :
Other Physical Details
illustrations (some color)

INTERNAL BIBLIOGRAPHIES/INDEXES NOTE

Text of Note
Includes bibliographical references and index.

CONTENTS NOTE

Text of Note
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.
0

SUMMARY OR ABSTRACT

Text of Note
This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between traditional machine learning and neural networks. Support vector machines, linear/logistic regression, singular value decomposition, matrix factorization, and recommender systems are shown to be special cases of neural networks. These methods are studied together with recent feature engineering methods like word2vec. Fundamentals of neural networks: A detailed discussion of training and regularization is provided in Chapters 3 and 4. Chapters 5 and 6 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural networks: Chapters 7 and 8 discuss recurrent neural networks and convolutional neural networks. Several advanced topics like deep reinforcement learning, neural Turing machines, Kohonen self-organizing maps, and generative adversarial networks are introduced in Chapters 9 and 10. The book is written for graduate students, researchers, and practitioners. Numerous exercises are available along with a solution manual to aid in classroom teaching. Where possible, an application-centric view is highlighted in order to provide an understanding of the practical uses of each class of techniques.

ACQUISITION INFORMATION NOTE

Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix. 9783319944630

OTHER EDITION IN ANOTHER MEDIUM

Title
Neural networks and deep learning.
International Standard Book Number
9783319944623

TOPICAL NAME USED AS SUBJECT

Machine learning.
Neural networks (Computer science)
Artificial Intelligence.
Information Systems and Communication Service.
Processor Architectures.
Artificial intelligence.
Computer architecture & logic design.
Computer networking & communications.
Computers-- Intelligence (AI) & Semantics.
Computers-- Online Services-- General.
Computers-- Systems Architecture-- General.
Machine learning.
Neural networks (Computer science)

(SUBJECT CATEGORY (Provisional

COM004000
TJFM1
TJFM1
UYQ
UYQ

DEWEY DECIMAL CLASSIFICATION

Number
006
.
3/2
Edition
23

LIBRARY OF CONGRESS CLASSIFICATION

Class number
QA76
.
87

PERSONAL NAME - PRIMARY RESPONSIBILITY

Aggarwal, Charu C.

ORIGINATING SOURCE

Date of Transaction
20201221083315.0
Cataloguing Rules (Descriptive Conventions))
pn

ELECTRONIC LOCATION AND ACCESS

Electronic name
 مطالعه متن کتاب 

[Book]
270410

Y

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