توضیحات
This book provides a comprehensive overview of neural networks, machine learning algorithms, and their applications in image processing. It covers foundational concepts such as supervised and unsupervised learning, convolutional neural networks (CNNs), deep learning architectures, and feature extraction techniques.
Readers learn how to apply machine learning models to tasks like image classification, object detection, segmentation, and pattern recognition. The book emphasizes both theoretical understanding and practical implementation, including algorithmic explanations, programming examples, and real-world case studies.
Ideal for students, researchers, and engineers in computer vision, AI, and data science, this resource equips readers with the knowledge and tools to develop intelligent systems capable of interpreting and analyzing visual data effectively.
نقد و بررسیها
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