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{ "item_title" : "Deep Learning Networks", "item_author" : [" Jayakumar Singaram", "S. S. Iyengar", "Azad M. Madni "], "item_description" : "This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/139/243/3031392434_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Learning Networks|Jayakumar Singaram

Deep Learning Networks : Design, Development and Deployment

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Overview

This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems.


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Details

  • ISBN-13: 9783031392436
  • ISBN-10: 3031392434
  • Publisher: Springer
  • Publish Date: November 2023
  • Dimensions: 9.21 x 6.14 x 0.5 inches
  • Shipping Weight: 0.97 pounds
  • Page Count: 161

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