Deep Learning for Object Detection by Abdussalam Elhanashi (.ePUB)+
File Size: 14.9 MB
Deep Learning for Object Detection and Localization by Abdussalam Elhanashi, Sergio Saponara
Requirements: .ePUB, .PDF reader, 14.9 MB | True PDF, True EPUB
Overview: In the ever-evolving field of computer vision, “Deep Learning for Object Detection and Localization” serves as an indispensable resource for researchers, practitioners, and students alike. This comprehensive book delves into the latest advancements and methodologies in Deep Learning, specifically tailored to enhance object detection and localization tasks. From foundational concepts to cutting-edge techniques, readers will embark on a journey through the intricacies of convolutional neural networks (CNNs), region-based frameworks, and advanced algorithms that power modern object detection systems. The purpose of writing this book is to bridge the knowledge gap in the dynamic field of object detection and localization using Deep Learning. As technology progresses, there is an increasing demand for robust and efficient systems capable of identifying and pinpointing objects within images and videos. Despite the plethora of resources available, there remains a need for a focused, in-depth guide that comprehensively covers both theoretical aspects and practical implementations. This book aims to fulfill that need by providing a detailed, structured approach to mastering the complexities of object detection and localization. Modern object detection workflows are based on general-purpose deep learning ecosystems. In the ecosystem landscape, there are two major players, TensorFlow and PyTorch, which are the two most used frameworks.
Genre: Non-Fiction > Tech & Devices
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