Electronic Resource

Advanced Deep Learning for Engineers and Scientists

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Penilaian

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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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Availability

Inventory Code	Barcode	Call Number	Location	Status
1908001426	EB0002032	006.31 Adv	Central Library (OPAC)	Available

Detail Information

Series Title

EAI/Springer Innovations in Communication and Computing

Call Number

006.31 Adv

Publisher

Switzerland : Springer Cham., 2021

Collation

xvii, 285p.:Ill

Language

English

ISBN/ISSN

978-3-030-66519-7

Classification

006.31

Content Type

Ebook

Media Type

-

Carrier Type

online resource

Edition

1

Subject(s)

Machine Learning

Specific Detail Info

-

Statement of Responsibility

BRF

Other version/related

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