… In Section 3, we describe the contribution of deep learning algorithms to key computer vision
tasks, such as object detection and recognition, face recognition, action/activity recognition, …

… Here we survey recent progress in the development of modern computer vision
techniques—powered by deep learning—for medical applications, focusing on medical imaging, …

… This paper will provide a comparison of deep learning to … Deep Learning in recent years
that it is impossible for this paper to capture the many facets and sub-domains of Deep Learning …

… Additionally, professionals who want to explore the advances in concepts and implementation
of deep learning algorithms applied to computer vision may find in this book an excellent …

… Deep learning has been overwhelmingly successful in computer vision (CV), natural language
processing, and video/speech recognition. In this paper, our focus is on CV. We provide a …

… in Deep Learning waters. This paper has the objective to introduce the most fundamental
concepts of Deep Learning for Computer Vision in … of Deep Learning for Computer Vision. …

… This success has brought about a revolution in computer vision; ConvNets are now the
dominant approach for almost all recognition and detection tasks 4,58,59,63,64,65 and approach …

… is primarily concerned with how to build computer systems that are able to successfully solve
… research initiative also included neuroscientists and experts in human and computer vision. …

… neural networks and learn to apply deep learning to solve computer vision problems. When
I started writing the book, my primary goal was as follows: “I want to write a book to grow …

… Deep learning has recently gained popularity achieving state-of-the-art performance in …
This article surveys methods applying deep learning on 3D data and provides a classification …