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{ "item_title" : "Deep Learning for the Real World", "item_author" : [" Kakoli G "], "item_description" : "This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.Here are the primary purposes of reading this book:Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/889/588/9798895880302_b.jpg", "price_data" : { "retail_price" : "15.00", "online_price" : "15.00", "our_price" : "15.00", "club_price" : "15.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Deep Learning for the Real World|Kakoli G

Deep Learning for the Real World : Practical Applications and Challenges

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Overview

This book aims to bridge the gap between theoretical deep learning concepts and their practical implementation. It provides a comprehensive guide for individuals and organizations looking to leverage deep learning for real-world problems.

Here are the primary purposes of reading this book:

Practical Guidance: The book offers hands-on advice on how to build and deploy deep learning models in various domains, such as computer vision, natural language processing, and time series analysis.

Real-World Challenges: It addresses the challenges and limitations that arise when applying deep learning to real-world data, such as data quality issues, overfitting, and computational costs.

Case Studies: Through case studies, the book demonstrates how deep learning has been successfully applied to solve complex problems in different industries, providing valuable insights and inspiration.

This item is Non-Returnable

Details

  • ISBN-13: 9798895880302
  • ISBN-10: 9798895880302
  • Publisher: Notion Press
  • Publish Date: October 2024
  • Dimensions: 8.5 x 5.5 x 0.25 inches
  • Shipping Weight: 0.32 pounds
  • Page Count: 106

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