Publisher description
Real Time Facial Recognition with Deep Learning" is a book authored by Hitaishi Verma. The book covers a range of advanced techniques in deep learning that can be used for real-time masked facial keypoint detection, recognition, and identification. The book focuses on state-of-the-art deep learning techniques that can be used to improve the accuracy of facial recognition systems, including convolutional neural networks, recurrent neural networks, and deep belief networks.The book is divided into several chapters that cover different topics related to facial recognition and detection, including pre-processing techniques for facial images, feature extraction methods, and different architectures of deep learning models for facial recognition. The book also covers advanced topics such as multi-task learning, transfer learning, and data augmentation techniques to improve the accuracy of facial recognition systems.The book is a useful resource for researchers, academics, and professionals in the field of computer vision, deep learning, and artificial intelligence who are interested in improving the accuracy of facial recognition systems for real-time applications. The book provides a comprehensive overview of the latest techniques in the field and includes practical examples and case studies that demonstrate how these techniques can be applied in real-world scenarios
Similar booksBiometrics, including Eigenface, Face Perception, Facial Recognition System, Face Detection, Three-dimensional Face Recognition, Feret Database, Facial Images National Database, Face Hallucination, Cross-race Effect, Cross-race Identification Bias, Bwh:
Rate the book
Write a review and share your opinion with others. Try to focus on the content of the book. Read our instructions for further information.
Real Time Facial Recognition with Deep Learning
Book reviews » Real Time Facial Recognition with Deep Learning
|
|
 |
|
|
|
|
