Advanced Deep Learning for Engineers and Scientists: A Practical Approach (1st ed. 2021) (EAI/Springer Innovations in Communication and Computing)

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Synopsis
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.
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
ISBN-13:
9783030665197
Related ISBNs:
9783030665180
Publisher:
Springer International Publishing
Date of Addition:
Copyrighted By:
The Editor
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Technology, Communication
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.
Edited by:
G. R. Kanagachidambaresan
Edited by:
S.Albert Alexander
Edited by:
Ramani Kannan
Edited by:
Kolla Bhanu Prakash

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