{
"item_title" : "Mastering Computer Vision with PyTorch and Machine Learning",
"item_author" : [" Caide Xiao "],
"item_description" : "This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.Key Features: Hands-on approach using the accompanying practical code examples Codes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data output Emphasis on practical application development for computer vision Includes latest computer vision technologies Offers practical guidance on advanced computer vision techniques Uses freely available and open-source resources like Kaggle and Google Colab ",
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Overview
This book, together with the accompanying Python codes, provides a thorough and extensive guide for mastering advanced computer vision techniques for image processing by using the open-source machine learning framework PyTorch. Known for its user-friendly interface and Python programming style, PyTorch is accessible and one of the most popular tools among researchers and practitioners in the field of artificial intelligence.
Key Features:
- Hands-on approach using the accompanying practical code examples
- Codes for all projects listed in the book are in a same style with four parts: data input, data display, data process and data output
- Emphasis on practical application development for computer vision
- Includes latest computer vision technologies
- Offers practical guidance on advanced computer vision techniques
- Uses freely available and open-source resources like Kaggle and Google Colab
This item is Non-Returnable
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Details
- ISBN-13: 9780750362429
- ISBN-10: 0750362421
- Publisher: Institute of Physics Publishing
- Publish Date: April 2024
- Dimensions: 10 x 7 x 0.81 inches
- Shipping Weight: 1.87 pounds
- Page Count: 364
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