Convolutional Neural Networks In Visual Computing
Download Convolutional Neural Networks In Visual Computing full books in PDF, epub, and Kindle. Read online free Convolutional Neural Networks In Visual Computing ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Convolutional Neural Networks in Visual Computing
Author | : Ragav Venkatesan,Baoxin Li |
Publsiher | : CRC Press |
Total Pages | : 204 |
Release | : 2017-10-23 |
Genre | : Computers |
ISBN | : 9781351650328 |
Download Convolutional Neural Networks in Visual Computing Book in PDF, Epub and Kindle
This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.
A Guide to Convolutional Neural Networks for Computer Vision
Author | : Salman Khan,Hossein Rahmani,Syed Afaq Ali Shah,Mohammed Bennamoun |
Publsiher | : Springer Nature |
Total Pages | : 187 |
Release | : 2022-06-01 |
Genre | : Computers |
ISBN | : 9783031018213 |
Download A Guide to Convolutional Neural Networks for Computer Vision Book in PDF, Epub and Kindle
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as diverse as smart surveillance and monitoring, health and medicine, sports and recreation, robotics, drones, and self-driving cars. Visual recognition tasks, such as image classification, localization, and detection, are the core building blocks of many of these applications, and recent developments in Convolutional Neural Networks (CNNs) have led to outstanding performance in these state-of-the-art visual recognition tasks and systems. As a result, CNNs now form the crux of deep learning algorithms in computer vision. This self-contained guide will benefit those who seek to both understand the theory behind CNNs and to gain hands-on experience on the application of CNNs in computer vision. It provides a comprehensive introduction to CNNs starting with the essential concepts behind neural networks: training, regularization, and optimization of CNNs. The book also discusses a wide range of loss functions, network layers, and popular CNN architectures, reviews the different techniques for the evaluation of CNNs, and presents some popular CNN tools and libraries that are commonly used in computer vision. Further, this text describes and discusses case studies that are related to the application of CNN in computer vision, including image classification, object detection, semantic segmentation, scene understanding, and image generation. This book is ideal for undergraduate and graduate students, as no prior background knowledge in the field is required to follow the material, as well as new researchers, developers, engineers, and practitioners who are interested in gaining a quick understanding of CNN models.
Deep Learning in Visual Computing and Signal Processing
Author | : Krishna Kant Singh,Vibhav Kumar Sachan,Akansha Singh,Sanjeevikumar Padmanaban |
Publsiher | : CRC Press |
Total Pages | : 289 |
Release | : 2022-10-20 |
Genre | : Science |
ISBN | : 9781000565232 |
Download Deep Learning in Visual Computing and Signal Processing Book in PDF, Epub and Kindle
Covers both the fundamentals and the latest concepts in deep learning Presents some of the diverse applications of deep learning in visual computing and signal processing Includes over 90 figures and tables to elucidate the text
Deep Learning in Visual Computing
Author | : Hassan Ugail |
Publsiher | : CRC Press |
Total Pages | : 144 |
Release | : 2022-07-07 |
Genre | : Computers |
ISBN | : 9781000625455 |
Download Deep Learning in Visual Computing Book in PDF, Epub and Kindle
Deep learning is an artificially intelligent entity that teaches itself and can be utilized to make predictions. Deep learning mimics the human brain and provides learned solutions addressing many challenging problems in the area of visual computing. From object recognition to image classification for diagnostics, deep learning has shown the power of artificial deep neural networks in solving real world visual computing problems with super-human accuracy. The introduction of deep learning into the field of visual computing has meant to be the death of most of the traditional image processing and computer vision techniques. Today, deep learning is considered to be the most powerful, accurate, efficient and effective method with the potential to solve many of the most challenging problems in visual computing. This book provides an insight into deep machine learning and the challenges in visual computing to tackle the novel method of machine learning. It introduces readers to the world of deep neural network architectures with easy-to-understand explanations. From face recognition to image classification for diagnosis of cancer, the book provides unique examples of solved problems in applied visual computing using deep learning. Interested and enthusiastic readers of modern machine learning methods will find this book easy to follow. They will find it a handy guide for designing and implementing their own projects in the field of visual computing.
Advances in Visual Computing
Author | : George Bebis,Zhaozheng Yin,Edward Kim,Jan Bender,Kartic Subr,Bum Chul Kwon,Jian Zhao,Denis Kalkofen,George Baciu |
Publsiher | : Springer Nature |
Total Pages | : 763 |
Release | : 2020-12-11 |
Genre | : Computers |
ISBN | : 9783030645564 |
Download Advances in Visual Computing Book in PDF, Epub and Kindle
This two-volume set of LNCS 12509 and 12510 constitutes the refereed proceedings of the 15th International Symposium on Visual Computing, ISVC 2020, which was supposed to be held in San Diego, CA, USA in October 2020, took place virtually instead due to the COVID-19 pandemic. The 114 full and 4 short papers presented in these volumes were carefully reviewed and selected from 175 submissions. The papers are organized into the following topical sections: Part I: deep learning; segmentation; visualization; video analysis and event recognition; ST: computational bioimaging; applications; biometrics; motion and tracking; computer graphics; virtual reality; and ST: computer vision advances in geo-spatial applications and remote sensing Part II: object recognition/detection/categorization; 3D reconstruction; medical image analysis; vision for robotics; statistical pattern recognition; posters
Convolutional Neural Networks in Visual Computing
Author | : Ragav Venkatesan,Baoxin Li |
Publsiher | : CRC Press |
Total Pages | : 168 |
Release | : 2017-10-23 |
Genre | : Computers |
ISBN | : 9781498770408 |
Download Convolutional Neural Networks in Visual Computing Book in PDF, Epub and Kindle
This book covers the fundamentals in designing and deploying techniques using deep architectures. It is intended to serve as a beginner's guide to engineers or students who want to have a quick start on learning and/or building deep learning systems. This book provides a good theoretical and practical understanding and a complete toolkit of basic information and knowledge required to understand and build convolutional neural networks (CNN) from scratch. The book focuses explicitly on convolutional neural networks, filtering out other material that co-occur in many deep learning books on CNN topics.
Advances in Visual Computing
Author | : George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Daniela Ushizima,Sek Chai,Shinjiro Sueda,Xin Lin,Aidong Lu,Daniel Thalmann,Chaoli Wang,Panpan Xu |
Publsiher | : Springer Nature |
Total Pages | : 718 |
Release | : 2019-10-25 |
Genre | : Computers |
ISBN | : 9783030337209 |
Download Advances in Visual Computing Book in PDF, Epub and Kindle
This book constitutes the refereed proceedings of the 14th International Symposium on Visual Computing, ISVC 2019, held in Lake Tahoe, NV, USA in October 2019. The 100 papers presented in this double volume were carefully reviewed and selected from 163 submissions. The papers are organized into the following topical sections: Deep Learning I; Computer Graphics I; Segmentation/Recognition; Video Analysis and Event Recognition; Visualization; ST: Computational Vision, AI and Mathematical methods for Biomedical and Biological Image Analysis; Biometrics; Virtual Reality I; Applications I; ST: Vision for Remote Sensing and Infrastructure Inspection; Computer Graphics II; Applications II; Deep Learning II; Virtual Reality II; Object Recognition/Detection/Categorization; and Poster.
Advances in Visual Computing
Author | : George Bebis,Richard Boyle,Bahram Parvin,Darko Koracin,Matt Turek,Srikumar Ramalingam,Kai Xu,Stephen Lin,Bilal Alsallakh,Jing Yang,Eduardo Cuervo,Jonathan Ventura |
Publsiher | : Springer |
Total Pages | : 771 |
Release | : 2018-11-09 |
Genre | : Computers |
ISBN | : 9783030038014 |
Download Advances in Visual Computing Book in PDF, Epub and Kindle
This book constitutes the refereed proceedings of the 13th International Symposium on Visual Computing, ISVC 2018, held in Las Vegas, NV, USA in November 2018. The total of 66 papers presented in this volume was carefully reviewed and selected from 91 submissions. The papers are organized in topical sections named: ST: computational bioimaging; computer graphics; visual surveillance; pattern recognition; vitrual reality; deep learning; motion and tracking; visualization; object detection and recognition; applications; segmentation; and ST: intelligent transportation systems.