Advanced deep learning for engineers and scientists : a practical approach / Kolla Bhanu Prakash, Ramani Kannan, S. Albert Alexander, G.R. Kanagachidambaresan, editors.
2021
Q325.5
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Details
Title
Advanced deep learning for engineers and scientists : a practical approach / Kolla Bhanu Prakash, Ramani Kannan, S. Albert Alexander, G.R. Kanagachidambaresan, editors.
ISBN
9783030665197 (electronic bk.)
3030665194 (electronic bk.)
3030665186
9783030665180
3030665194 (electronic bk.)
3030665186
9783030665180
Imprint
Cham, Switzerland : Springer, 2021.
Language
English
Description
1 online resource
Other Standard Identifiers
10.1007/978-3-030-66519-7 doi
Call Number
Q325.5
Dewey Decimal Classification
006.3/1
Summary
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.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed August 3, 2021).
Added Author
Prakash, Kolla Bhanu, editor.
Kannan, Ramani, editor.
Albert Alexander, S., editor.
Kanagachidambaresan, G. R., 1988- editor.
Kannan, Ramani, editor.
Albert Alexander, S., editor.
Kanagachidambaresan, G. R., 1988- editor.
Series
EAI/Springer innovations in communication and computing, 2522-8595
Available in Other Form
Advanced deep learning for engineers and scientists.
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Online Access
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Online Resources > Ebooks
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Table of Contents
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.
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.