Advanced Deep Learning for Engineers and Scientists (Record no. 78764)

000 -LEADER
fixed length control field 03641nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-030-66519-7
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220627.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 210724s2021 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030665197
-- 978-3-030-66519-7
082 04 - CLASSIFICATION NUMBER
Call Number 621.382
245 10 - TITLE STATEMENT
Title Advanced Deep Learning for Engineers and Scientists
Sub Title A Practical Approach /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVII, 285 p. 281 illus., 261 illus. in color.
490 1# - SERIES STATEMENT
Series statement EAI/Springer Innovations in Communication and Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Introduction to ANN -- Introduction to Deep Learning -- Deep Soft Computing using Python -- Working with Keras -- Deep learning Applications using Python -- Advanced Deep learning techniques -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book introduces a broad range of topics in deep learning. The authors start with the fundamentals, architectures, tools needed for effective implementation for scientists. They then present technical exposure towards deep learning using Keras, Tensorflow, Pytorch and Python. They proceed with advanced concepts with hands-on sessions for deep learning. Engineers, scientists, researches looking for a practical approach to deep learning will enjoy this book. Presents practical basics to advanced concepts in deep learning and how to apply them through various projects; Discusses topics such as deep learning in smart grids and renewable energy & sustainable development; Explains how to implement advanced techniques in deep learning using Pytorch, Keras, Python programming.
700 1# - AUTHOR 2
Author 2 Prakash, Kolla Bhanu.
700 1# - AUTHOR 2
Author 2 Kannan, Ramani.
700 1# - AUTHOR 2
Author 2 Alexander, S.Albert.
700 1# - AUTHOR 2
Author 2 Kanagachidambaresan, G. R.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-66519-7
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Koha item type eBooks
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-- Springer International Publishing :
-- Imprint: Springer,
-- 2021.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Telecommunication.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data mining.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Communications Engineering, Networks.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
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-- 2522-8609
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