menu
{ "item_title" : "Hands-On Deep Learning", "item_author" : [" Rupesh Kumar Tipu", "Vandna Batra", "Suman Punia "], "item_description" : "Hands-On Deep Learning: From Beginner to Advanced with TensorFlow is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/6/20/780/808/6207808088_b.jpg", "price_data" : { "retail_price" : "48.00", "online_price" : "48.00", "our_price" : "48.00", "club_price" : "48.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Hands-On Deep Learning|Rupesh Kumar Tipu

Hands-On Deep Learning : From Beginner to Advanced with TensorFlow

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

"Hands-On Deep Learning: From Beginner to Advanced with TensorFlow" is a comprehensive guide that takes readers on a journey through the world of deep learning. The book covers fundamental concepts, practical implementations, and advanced techniques using TensorFlow, one of the most powerful and popular deep learning frameworks. With a focus on hands-on projects and real-world applications, this book is designed for students, researchers, and professionals who want to master deep learning from the ground up. Topics include neural networks, convolutional neural networks, recurrent neural networks, reinforcement learning, hyperparameter tuning, model optimization, and deployment strategies, along with practical case studies and future trends in the field.

This item is Non-Returnable

Details

  • ISBN-13: 9786207808083
  • ISBN-10: 6207808088
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: June 2024
  • Dimensions: 9 x 6 x 0.19 inches
  • Shipping Weight: 0.28 pounds
  • Page Count: 80

Related Categories

You May Also Like...

    1

BAM Customer Reviews