國立高雄大學圖資館 |

Language: English

Back

Applied deep learningtools, techniques, and implementation /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied deep learningby Paul Fergus, Carl Chalmers.
Reminder of title:	tools, techniques, and implementation /
Author:	Fergus, Paul.
other author:	Chalmers, Carl.
Published:	Cham :Springer International Publishing :2022.
Description:	xxvii, 341 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Deep learning (Machine learning)
Online resource:	https://doi.org/10.1007/978-3-031-04420-5
ISBN:	9783031044205$q(electronic bk.)

Applied deep learningtools, techniques, and implementation /
Fergus, Paul.

Applied deep learningtools, techniques, and implementation /[electronic resource] :by Paul Fergus, Carl Chalmers. - Cham :Springer International Publishing :2022. - xxvii, 341 p. :ill., digital ;24 cm. - Computational intelligence methods and applications,2510-1773. - Computational intelligence methods and applications..

Part 1 Introduction and Overview -- Introduction -- Part 2 Foundations of Mashine Learning -- Fundamentals of Machine Learning -- Supervised Learning -- Un-Supervised Learning -- Performance Evaluation Metrics -- Part 3 Deep Learning Concepts and Techniques -- Introduction to Deep Learning -- Image Classification and Object Detection -- Deep Learning Techniques for Time Series Modelling -- Natural Language Processing -- Deep Generative Models -- Deep Reinforcement Learning -- Part 4 Enterprise Machine Learning -- Accelerated Machine Learning -- Deploying and Hosting Machine Learning Models -- Enterprise Machine Learning Serving.

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

ISBN: 9783031044205$q(electronic bk.)

Standard No.: 10.1007/978-3-031-04420-5doiSubjects--Topical Terms:

913129
Deep learning (Machine learning)

LC Class. No.: Q325.73 / .F47 2022

Dewey Class. No.: 006.31

Applied deep learningtools, techniques, and implementation /
LDR:02362nmm a2200337 a 4500 001 627564
003 DE-He213
005 20220718070123.0
006 m d
007 cr nn 008maaau
008 230201s2022 sz s 0 eng d
020 $a 9783031044205$q(electronic bk.)
020 $a 9783031044199$q(paper)
024 7 $a 10.1007/978-3-031-04420-5 $2 doi
035 $a 978-3-031-04420-5
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.73 $b .F47 2022
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.73 $b .F352 2022
100 1 $a Fergus, Paul. $3 931666
245 1 0 $a Applied deep learning $h [electronic resource] : $b tools, techniques, and implementation / $c by Paul Fergus, Carl Chalmers.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2022.
300 $a xxvii, 341 p. : $b ill., digital ; $c 24 cm.
490 1 $a Computational intelligence methods and applications, $x 2510-1773
505 0 $a Part 1 Introduction and Overview -- Introduction -- Part 2 Foundations of Mashine Learning -- Fundamentals of Machine Learning -- Supervised Learning -- Un-Supervised Learning -- Performance Evaluation Metrics -- Part 3 Deep Learning Concepts and Techniques -- Introduction to Deep Learning -- Image Classification and Object Detection -- Deep Learning Techniques for Time Series Modelling -- Natural Language Processing -- Deep Generative Models -- Deep Reinforcement Learning -- Part 4 Enterprise Machine Learning -- Accelerated Machine Learning -- Deploying and Hosting Machine Learning Models -- Enterprise Machine Learning Serving.
520 $a This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.
650 0 $a Deep learning (Machine learning) $3 913129
650 1 4 $a Artificial Intelligence. $3 212515
700 1 $a Chalmers, Carl. $3 931667
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Computational intelligence methods and applications. $3 762774
856 4 0 $u https://doi.org/10.1007/978-3-031-04420-5
950 $a Computer Science (SpringerNature-11645)