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Advanced deep learning for engineers...

Prakash, Kolla Bhanu.

Advanced deep learning for engineers and scientistsa practical approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advanced deep learning for engineers and scientistsedited by Kolla Bhanu Prakash ... [et al.].
Reminder of title:	a practical approach /
other author:	Prakash, Kolla Bhanu.
Published:	Cham :Springer International Publishing :2021.
Description:	xvii, 285 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Machine learning.
Online resource:	https://doi.org/10.1007/978-3-030-66519-7
ISBN:	9783030665197$q(electronic bk.)

Advanced deep learning for engineers and scientistsa practical approach /
Advanced deep learning for engineers and scientistsa practical approach /[electronic resource] :edited by Kolla Bhanu Prakash ... [et al.]. - Cham :Springer International Publishing :2021. - xvii, 285 p. :ill., digital ;24 cm. - EAI/Springer innovations in communication and computing,2522-8595. - EAI/Springer innovations in communication and computing..

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.

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.

ISBN: 9783030665197$q(electronic bk.)

Standard No.: 10.1007/978-3-030-66519-7doiSubjects--Topical Terms:

188639
Machine learning.

LC Class. No.: Q325.5

Dewey Class. No.: 006.31

Advanced deep learning for engineers and scientistsa practical approach /
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245 0 0 $a Advanced deep learning for engineers and scientists $h [electronic resource] : $b a practical approach / $c edited by Kolla Bhanu Prakash ... [et al.].
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300 $a xvii, 285 p. : $b ill., digital ; $c 24 cm.
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505 0 $a 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 $a 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.
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