Mastering Computer Vision with PyTorch and Machine Learning
Caide Xiao
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Institute of Physics Publishing
Naturwissenschaften, Medizin, Informatik, Technik / Informatik, EDV
Beschreibung
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
Kundenbewertungen
WGAN, CNN, infoGAN, Computer vision, Kullback Leibler Divergence, image generation, WGAN-GP, YOLO, maximum likelihood, Vision Transformer, zero shot, Machine Learning, image classification, Stable Diffusion, U-Net, object detection, SAM, GAN, image segmentation, PyTorch, VAE, DINO