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:
| ISBN: | 9780750362429 |
| Publication date: | 29th April 2024 |
| Author: | Caide Xiao |
| Publisher: | IOP Publishing an imprint of Institute of Physics Publishing |
| Format: | Hardback |
| Pagination: | 300 pages |
| Series: | IOP Ebooks |
| Genres: |
Machine learning Computer vision |
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
Mastering Computer Vision With PyTorch and Machine Learning features in the following genres: Machine learning, Computer vision
Hardback. £67.50, down from the £75.00 cover price. Not Available.
Mastering Computer Vision With PyTorch and Machine Learning was written by Caide Xiao and published by IOP Publishing an imprint of Institute of Physics Publishing
Mastering Computer Vision With PyTorch and Machine Learning has 300 pages
Yes it is part of IOP Ebooks series
£67.50, reduced from £75.00. Not Available.