Deep Learning in Visual Computing: Explanations and Examples

Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. It mimics the human brain and provides learned solutions addressing many challenging problems in visual computing, such as object recognition and image classification. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations and provides unique examples of solved problems in applied visual computing using deep learning.

Format: Hardback
Length: 134 pages
Publication date: 07 July 2022
Publisher: Taylor & Francis Ltd

Deep learning is an artificial intelligence that enables self-learning and can be used to make predictions. It mimics the human brain and provides learned solutions to various challenging problems in the field of visual computing. From object recognition to image classification for diagnostics, deep learning has demonstrated the remarkable power of artificial deep neural networks in solving real-world visual computing problems with exceptional accuracy. The integration of deep learning into the realm of visual computing has heralded the demise of most traditional image processing and computer vision techniques. Today, deep learning is widely regarded as the most potent, accurate, efficient, and effective method available, holding the potential to address numerous complex challenges in visual computing.

This book delves into the realm of deep machine learning and the challenges faced in visual computing to embrace this novel approach to machine learning. It offers a comprehensive introduction to deep neural network architectures, providing readers with easy-to-understand explanations. From face recognition to image classification for cancer diagnosis, the book showcases unique examples of solved problems in applied visual computing using deep learning. Whether you are an interested and enthusiastic reader of modern machine learning methods or a professional seeking to develop your skills in visual computing, this book will be a valuable resource. It serves as a handy guide for designing and implementing your own projects in this field.

Weight: 420g
Dimension: 216 x 138 (mm)
ISBN-13: 9780367549626