Using the classic computer vision perspective, you will explore several computer vision tasks and suggested approaches. You will also review deep learning methods and apply them to some of the same ...

Abstract: Many libraries of deep learning algorithms have been written in C++ with a Python interface, but a growing number are also usable with R. In this chapter the authors explore how to program ...

You will be redirected to our submission process. Deep learning has transformed the landscape of computer vision, enabling breakthroughs in tasks such as image classification, object detection, and ...

We will go over the major categories of tasks of Computer Vision and we will give examples of applications from each category. With the adoption of Machine Learning and Deep Learning techniques, we ...

The proposed Research Topic issue will cover deep learning, broadly defined, in many fields, including computer science and engineering, neuroscience, cognitive science, and psychology. To this end, ...

With this hands-on guide to 3D deep learning, developers working with 3D computer vision will be able to put their knowledge to work and get up and running in no time. Complete with step-by-step ...

The last decade has seen a resurgence of deep neural networks as the machine learning tool of choice for many application areas including computer vision, reinforcement learning, and ...

In this course students will study deep learning architectures such as autoencoders, , convolutional deep neural networks, and recurrent neural networks. They will read original research papers that ...