Abstract: Deep learning (DL) is a new machine learning (ML) methodology that has found successful implementations in many application domains. However, its usage in communications systems has not been ...

Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...

Learn More Artificial intelligence (AI) pioneer Geoffrey Hinton, one of the trailblazers of the deep learning “revolution” that began a decade ago, says that the rapid progress in AI will ...

The book starts with an overview of the deep learning (DL ... has color images of the screenshots/diagrams used in this book. Click here to download it. Yong Liu has been working in big data science, ...

In addition, the image is expanded by transforming several well indicator diagrams. Finally ... affect the performance of the subsequent classification algorithms. In deep learning, a large amount of ...

Recently, many deep learning and machine learning methods have been widely ... which is mainly used to process sequence information with a long time difference. Figure 6 is the schematic diagram of ...

Answering this question involves identifying and analyzing the deep learning architecture diagrams from several research papers. Retrieving such information poses significant challenge as most of the ...

Getting more performance out of a system to handle machine-learning (ML) chores can be done using Intel’s Deep Learning Boost. I talked with Huma Abidi, Director of Engineering, Artificial ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential ...