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OverviewFull Product DetailsAuthor: Tariq M. Arif (Weber State University, UT)Publisher: John Wiley & Sons Inc Imprint: John Wiley & Sons Inc Weight: 0.680kg ISBN: 9781394269266ISBN 10: 1394269269 Pages: 256 Publication Date: 27 March 2025 Audience: College/higher education , Professional and scholarly , Undergraduate , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsPreface x Acknowledgment xi Biography xii About the Companion Website xiii 1 Introduction 1 2 Fundamentals of Deep Learning 15 3 Convolutional and Recurrent Neural Network 27 4 Deep Learning Using PyTorch 41 5 Introduction to Jetson Nano and Setup 59 6 Linux Terminal Overview 85 7 Docker Engine Setup 107 8 Dataset Development 121 9 Training Model for Image Classification 133 10 Object Detection with Classification 149 11 Deploy Deep Learning Models on Jetson Nano 169 12 Trained PyTorch Model: From Desktop PC to Jetson Nano 177 13 Setting up Raspberry Pi 187 14 Deploy Deep Learning Models on Raspberry Pi 209 15 Trained PyTorch Model: From Desktop PC to Raspberry Pi 225 Index 235ReviewsAuthor InformationTariq M. Arif, PhD, is an Associate Professor at WSU since 2019. Prior to that, he worked at the University of Wisconsin, Platteville. His primary research interests include artificial intelligence and genetic algorithms for robotics control, computer vision, and biomedical simulations involving machine learning algorithms. He also worked in the Japanese automobile industry for three and a half years as a CAD/CAE engineer. Tab Content 6Author Website:Countries AvailableAll regions |
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