{
"item_title" : "Deep Learning for Image Recognition",
"item_author" : [" Peng Long", "Yu Song "],
"item_description" : "Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/0/44/343/950/0443439508_b.jpg",
"price_data" : {
"retail_price" : "270.00", "online_price" : "270.00", "our_price" : "270.00", "club_price" : "270.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Overview
Deep Learning for Image Recognition provides a detailed explanation of the fundamental theories underpinning image recognition and code for recognition tasks in specific application scenarios. Readers can manipulate the existing code, thereby deepening their understanding. Chapters include project work enabling readers to apply the skills and knowledge gained from that section of the book. Projects are based on the accessible Pytorch framework, which is straightforward to learn and can be replicated and modified. Readers are presented with current research findings and up to date techniques in image recognition and deep learning.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9780443439506
- ISBN-10: 0443439508
- Publisher: Elsevier
- Publish Date: October 2025
- Dimensions: 8.99 x 5.99 x 1.11 inches
- Shipping Weight: 2 pounds
- Page Count: 542
Related Categories
