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Advanced Deep Learning for Engineers and Scientists: A Practical Approach 2021 Edition
Contributor(s): Prakash, Kolla Bhanu (Editor), Kannan, Ramani (Editor), Alexander, S. Albert (Editor)
ISBN: 3030665186     ISBN-13: 9783030665180
Publisher: Springer
OUR PRICE:   $123.49  
Product Type: Hardcover
Published: July 2021
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Technology & Engineering | Telecommunications
- Technology & Engineering | Engineering (general)
- Computers | Intelligence (ai) & Semantics
Physical Information: 0.8" H x 7.7" W x 9.4" (1.40 lbs) 285 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.