Advances in electromagnetics empowered by artificial intelligence and deep learning / 
edited by Sawyer D. Campbell and Douglas H. Werner. 
 - 1 online resource 
<br/><br/> Includes index. 
<br/><br/> "Definitions and Basics of Deep Learning and Artificial Intelligence The availability of compute power and abundance of data has resulted in the tremendous success of deep learning algorithms. Neural Networks often outperform their human counterparts in a variety of tasks, ranging from image classification to sentiment analysis of text. Neural networks can even play video games [Mnih et al., 2013] and generate artwork [Ramesh et al., 2022]. In this chapter we introduce the basic concepts needed to understand neural networks."-- 
<br/><br/><br/>About the Author<br/>Sawyer D. Campbell is an Assistant Research Professor in the Pennsylvania State University Department of Electrical Engineering where he is also the associate director of the Computational Electromagnetics and Antennas Research Lab.<br/><br/>Douglas H. Werner is the director of the Computational Electromagnetics and Antennas Research Lab as well as a faculty member of the Materials Research Institute at Penn State. 
<br/><br/><label>ISBN: </label>9781119853893 
<br/><br/><label>LCCN: </label>2023015932 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Electromagnetism.<br/>Artificial intelligence.<br/>Deep learning (Machine learning)
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>QC760  / .A2862 2023 
<br/><br/><label>Dewey Class. No.: </label>537.0285/63