Hassan Ugail

Deep Learning in Visual Computing (eBook, PDF)

Explanations and Examples

• Format: PDF

Produktbeschreibung

This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 140
• Erscheinungstermin: 7. Juli 2022
• Englisch
• ISBN-13: 9781000625424
• Artikelnr.: 64093130

Autorenporträt

Prof Hassan Ugail is Director of the Centre for Visual Computing at the University of Bradford, UK. He is a renowned computer scientist in the area of visual computing and artificial intelligence (AI). He is an advocate of AI for helping to tackle real world issues in the areas of digital health, innovative engineering and sustainable societies in general. More specifically, he works in the area of human biometrics especially the development of cutting-edge AI solutions for biometric face recognition. His most recent work in this area includes helping to unravel the real identity of the two Russian spies at the heart of the Salisbury Novichok poisoning case - one of the biggest international stories of 2018.

Inhaltsangabe

1. Introduction 2. The Foundations of Deep Learning 3. Deep Learning Models for Visual Computing 4. Deep Face Recognition 5. Age Estimation from Face Images using Deep Learning 6. The Nose and Ethnicity 7. Analysis of Skin Burns using Deep Learning 8. Deep Learning Approaches to Cancer Diagnosis using Histopathological Images 9. A Deep Transfer Learning Model for the Analysis of Electrocardiograms 10. Advances in Visual Computing through Deep Learning 11. Frontiers and Challenges in Deep Learning for Visual Computing