Isbn: 9798182731959 - deep learning-based facial recognition model for educational systems (6 resultados)

Condición: New.

Paperback. Condición: new. Paperback. Deep Learning-Based Facial Recognition Model For Educational Systems examines deep learning approaches for developing facial recognition models within educational technology environments. The book introduces facial recognition, computer vision, deep neural networks, image processing, machine learning, and artificial intelligence, with emphasis on computational methods for analyzing facial images and identifying individuals. It considers data preparation, image representation, feature extraction, model architecture, training, recognition, and performance evaluation in educational system contexts. Attention is given to how deep learning techniques can support automated facial analysis and recognition while integrating computer vision methods with educational information systems. The discussion provides a technical foundation for understanding intelligent recognition models and their computational requirements. This book is intended for students, researchers, engineers, computer scientists, data scientists, and professionals interested in deep learning, facial recognition, computer vision, artificial intelligence, and educational technology. A technical study of deep learning, facial recognition, computer vision, image processing, artificial intelligence, and educational technology systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep Learning-Based Facial Recognition Model For Educational Systems examines deep learning approaches for developing facial recognition models within educational technology environments. The book introduces facial recognition, computer vision, deep neural networks, image processing, machine learning, and artificial intelligence, with emphasis on computational methods for analyzing facial images and identifying individuals. It considers data preparation, image representation, feature extraction, model architecture, training, recognition, and performance evaluation in educational system contexts. Attention is given to how deep learning techniques can support automated facial analysis and recognition while integrating computer vision methods with educational information systems. The discussion provides a technical foundation for understanding intelligent recognition models and their computational requirements. This book is intended for students, researchers, engineers, computer scientists, data scientists, and professionals interested in deep learning, facial recognition, computer vision, artificial intelligence, and educational technology.…

Taschenbuch. Condición: Neu. Deep Learning-Based Facial Recognition Model For Educational Systems | Butool Sultana | Taschenbuch | Englisch | 2026 | Beakers Bay | EAN 9798182731959 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Paperback. Condición: new. Paperback. Deep Learning-Based Facial Recognition Model For Educational Systems examines deep learning approaches for developing facial recognition models within educational technology environments. The book introduces facial recognition, computer vision, deep neural networks, image processing, machine learning, and artificial intelligence, with emphasis on computational methods for analyzing facial images and identifying individuals. It considers data preparation, image representation, feature extraction, model architecture, training, recognition, and performance evaluation in educational system contexts. Attention is given to how deep learning techniques can support automated facial analysis and recognition while integrating computer vision methods with educational information systems. The discussion provides a technical foundation for understanding intelligent recognition models and their computational requirements. This book is intended for students, researchers, engineers, computer scientists, data scientists, and professionals interested in deep learning, facial recognition, computer vision, artificial intelligence, and educational technology. A technical study of deep learning, facial recognition, computer vision, image processing, artificial intelligence, and educational technology systems. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Paperback. Condición: new. Paperback. Deep Learning-Based Facial Recognition Model For Educational Systems examines deep learning approaches for developing facial recognition models within educational technology environments. The book introduces facial recognition, computer vision, deep neural networks, image processing, machine learning, and artificial intelligence, with emphasis on computational methods for analyzing facial images and identifying individuals. It considers data preparation, image representation, feature extraction, model architecture, training, recognition, and performance evaluation in educational system contexts. Attention is given to how deep learning techniques can support automated facial analysis and recognition while integrating computer vision methods with educational information systems. The discussion provides a technical foundation for understanding intelligent recognition models and their computational requirements. This book is intended for students, researchers, engineers, computer scientists, data scientists, and professionals interested in deep learning, facial recognition, computer vision, artificial intelligence, and educational technology. A technical study of deep learning, facial recognition, computer vision, image processing, artificial intelligence, and educational technology systems. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…