Mastering Computer Vision With PyTorch and Machine Learning

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

Mastering Computer Vision With PyTorch and Machine Learning is available in Hardback

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