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: Paperback / softback
Length: 134 pages
Publication date: 07 July 2022
Publisher: Taylor & Francis Ltd

Deep learning is a remarkable artificial intelligence technology that enables self-learning and prediction capabilities. It closely resembles the workings of the human brain, offering intelligent solutions to complex visual computing challenges. From object recognition to image classification for medical diagnostics, deep learning has demonstrated its extraordinary power by achieving remarkable accuracy in solving real-world visual computing problems.

The integration of deep learning into the realm of visual computing has heralded the demise of many traditional image processing and computer vision techniques. Today, deep learning is widely regarded as the most potent, precise, efficient, and effective approach for addressing a wide range of challenging visual computing problems.

This comprehensive book delves into the realm of deep machine learning and explores the complexities involved in visual computing. It provides readers with a clear understanding of deep neural network architectures, making them accessible to individuals with a basic understanding of machine learning. The book showcases unique examples of solved problems in applied visual computing using deep learning, offering valuable insights and practical applications for interested and enthusiastic readers of modern machine learning methods.

Whether you are a professional seeking to enhance your skills in visual computing or a student embarking on a journey into the field, this book serves as a valuable guide. It provides step-by-step instructions and practical examples to help you design and implement your own projects in the realm of visual computing, leveraging the power of deep learning to achieve groundbreaking results.

Weight: 188g
Dimension: 138 x 217 x 15 (mm)
ISBN-13: 9780367549633