توضیحات
Modern Computer Vision with PyTorch provides a practical guide to building state-of-the-art computer vision systems. Readers learn to implement deep learning models for image classification, object detection, segmentation, and generative tasks using PyTorch. The book covers neural network architectures, transfer learning, data augmentation, and model optimization, with hands-on projects and real-world examples. Designed for students, data scientists, and AI practitioners, it equips readers with the knowledge and skills to develop and deploy modern computer vision solutions, combining theory with practical implementation in Python and PyTorch.
نقد و بررسیها
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