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 ...

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 ...

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 ...

The CEVA-XM6 computer vision and deep learning platform was recognized by a panel of esteemed experts from system integrator and end-user companies. Originality Innovation Impact on Designers, Systems ...

with an emphasis on understanding the network architecture of the pre-trained deep learning models. Selected topics from the following areas will be covered, with an emphasis on practical applications ...

Deep learning has revolutionized pattern recognition, introducing tools that power a wide range of technologies in such diverse fields as computer vision, natural language processing, and automatic ...

Deep learning can help companies operate faster and more efficiently. In this 13-page buyer’s guide, Computer Weekly looks at the advanced tools available for developers building intelligent ...