How does the computer learn to understand what it sees? Deep Learning for Vision Systems
answers that by applying deep learning to computer vision. Using only high school algebra …

Deep learning algorithms have brought a revolution to the computer vision community by
introducing non-traditional and efficient solutions to several image-related problems that had …

One stop guide to implementing award-winning, and cutting-edge CNN architectures Key
Features Fast-paced guide with use cases and real-world examples to get well versed with …

Learn how to model and train advanced neural networks to implement a variety of Computer
Vision tasks Key Features Train different kinds of deep learning model from scratch to solve …

This cutting-edge volume, Computer Vision and Recognition Systems: Research
Innovations and Trends, focuses on how artificial intelligence can be used to give computers …

Artificial vision has often been described as one of the key remaining challenges to be
solved before machines can act intelligently. Recent developments in a branch of machine …

This book covers the fundamentals in designing and deploying techniques using deep
architectures. It is intended to serve as a beginner's guide to engineers or students who want …

Deep learning is one of today's hottest fields. This approach to machine learning is
achieving breakthrough results in some of today's highest profile applications, in …

Computer vision is a branch of computer science that studies how computers can 'see'. It is a
field that provides significant value for advancements in academia and artificial intelligence …

A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual
explanations instead of equations. You'll learn how to use key deep learning algorithms …