A Vision Of The Deep

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Deep Learning In Computer Vision

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Author : Mahmoud Hassaballah
language : en
Publisher: CRC Press
Release Date : 2020-03-23

Deep Learning In Computer Vision written by Mahmoud Hassaballah and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-23 with Computers categories.

Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Remembering Our Future

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Author : Andrew G. Walker
language : en
Publisher: Wipf and Stock Publishers
Release Date : 2013-01-16

Remembering Our Future written by Andrew G. Walker and has been published by Wipf and Stock Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-16 with Religion categories.

How the issues of the past affect the future of "Deep Church"--a concept conceived by C. S. Lewis. Orthodox, Catholic, and Protestant traditions drink from the well of a common tradition rooted in the early church. Many Evangelicals are now reengaging with the practice of the early church as they seek to live as disciples today. Remembering the past is essential for facing the future. In Remembering Our Future leaders and theologians reflect on a range of issues for which a vibrant contemporary faith requires a careful listening to the past. What is the place of tradition in the church's life? How should we interpret the Bible? How should we worship? What, in other words, might "Deep Church" look like?

Elements Of Deep Learning For Computer Vision

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Author : Bharat Sikka
language : en
Publisher: BPB Publications
Release Date : 2021-06-24

Elements Of Deep Learning For Computer Vision written by Bharat Sikka and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-24 with Computers categories.

Conceptualizing deep learning in computer vision applications using PyTorch and Python libraries. KEY FEATURES ● Covers a variety of computer vision projects, including face recognition and object recognition such as Yolo, Faster R-CNN. ● Includes graphical representations and illustrations of neural networks and teaches how to program them. ● Includes deep learning techniques and architectures introduced by Microsoft, Google, and the University of Oxford. DESCRIPTION Elements of Deep Learning for Computer Vision gives a thorough understanding of deep learning and provides highly accurate computer vision solutions while using libraries like PyTorch. This book introduces you to Deep Learning and explains all the concepts required to understand the basic working, development, and tuning of a neural network using Pytorch. The book then addresses the field of computer vision using two libraries, including the Python wrapper/version of OpenCV and PIL. After establishing and understanding both the primary concepts, the book addresses them together by explaining Convolutional Neural Networks(CNNs). CNNs are further elaborated using top industry standards and research to explain how they provide complicated Object Detection in images and videos, while also explaining their evaluation. Towards the end, the book explains how to develop a fully functional object detection model, including its deployment over APIs. By the end of this book, you are well-equipped with the role of deep learning in the field of computer vision along with a guided process to design deep learning solutions. WHAT YOU WILL LEARN ● Get to know the mechanism of deep learning and how neural networks operate. ● Learn to develop a highly accurate neural network model. ● Access to rich Python libraries to address computer vision challenges. ● Build deep learning models using PyTorch and learn how to deploy using the API. ● Learn to develop Object Detection and Face Recognition models along with their deployment. WHO THIS BOOK IS FOR This book is for the readers who aspire to gain a strong fundamental understanding of how to infuse deep learning into computer vision and image processing applications. Readers are expected to have intermediate Python skills. No previous knowledge of PyTorch and Computer Vision is required. TABLE OF CONTENTS 1. An Introduction to Deep Learning 2. Supervised Learning 3. Gradient Descent 4. OpenCV with Python 5. Python Imaging Library and Pillow 6. Introduction to Convolutional Neural Networks 7. GoogLeNet, VGGNet, and ResNet 8. Understanding Object Detection 9. Popular Algorithms for Object Detection 10. Faster RCNN with PyTorch and YoloV4 with Darknet 11. Comparing Algorithms and API Deployment with Flask 12. Applications in Real World

Making Deep Maps

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Author : David J. Bodenhamer
language : en
Publisher: Routledge
Release Date : 2021-09-28

Making Deep Maps written by David J. Bodenhamer and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-28 with Science categories.

This book explores how we create deep maps, delving into the development of methods and approaches that move beyond standard two-dimensional cartography. Deep mapping offers a more detailed exploration of the world we inhabit. Moving from concept to practice, this book addresses how we make deep maps. It explores what methods are available, what technologies and approaches are favorable when designing deep maps, and what lessons assist the practitioner during their construction. This book aims to create an open-ended way in which to understand complex problems through multiple perspectives, while providing a means to represent the physical properties of the real world and to respond to the needs of contemporary scholarship. With contributions from leading experts in the spatial humanities, chapters focus on the linked layers of quantitative and qualitative data, maps, photographs, images, and sound that offer a dynamic view of past and present worlds. This innovative book is the first to offer these insights on the construction of deep maps. It will be a key point of reference for students and scholars in the digital and spatial humanities, geographers, cartographers, and computer scientists who work on spatiality, sensory experience, and perceptual learning.

Deep Change

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Author : Robert E. Quinn
language : en
Publisher: John Wiley & Sons
Release Date : 2010-08-20

Deep Change written by Robert E. Quinn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-08-20 with Business & Economics categories.

Don't let your company kill you! Open this book at your own risk. It contains ideas that may lead to a profound self-awakening. An introspective journey for those in the trenches of today's modern organizations, Deep Change is a survival manual for finding our own internal leadership power. By helping us learn new ways of thinking and behaving, it shows how we can transform ourselves from victims to powerful agents of change. And for anyone who yearns to be an internally driven leader, to motivate the people around them, and return to a satisfying work life, Deep Change holds the key.

A Deep Cry

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Author : Anne Powell
language : en
Publisher: The History Press
Release Date : 2014-10-06

A Deep Cry written by Anne Powell and has been published by The History Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-06 with History categories.

The lives, deaths, poetry, diaries and extracts from letters of sixty-six soldier-poets are brought together in this limited edition of Anne Powell's unique anthology; a fitting commemoration for the centenary of the First World War. These poems are not simply the works of well-known names such as Wilfred Owen – though they are represented – they have been painstakingly collected from a multitude of sources, and the relative obscurity of some of the voices makes the message all the more moving. Moreover, all but five of these soldiers lie within forty-five miles of Arras. Their deaths are described here in chronological order, with an account of each man's last battle. This in itself provides a revealing gradual change in the poetry from early naïve patriotism to despair about the human race and the bitterness of 'Dulce et Decorum Est'.

The Biology Of The Deep Ocean

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Author :
language : en
Publisher: OUP Oxford
Release Date : 2001-12-21

The Biology Of The Deep Ocean written by and has been published by OUP Oxford this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-12-21 with Science categories.

The deep ocean environment is the most extensive on our planet. Its denizens are normally unseen but whenever they are exposed to view they are regarded as bizarre aliens from a different world. The Biology of the Deep Ocean takes a close look at this apparently hostile world and explains how its inhabitants are exquisitely adapted to survive and flourish within it. The book begins with an analysis of how conditions in the oceanic environment differ from those in the familiar terrestrial world and then describes the techniques (and ingenuity) required to reveal the populations inhabiting the colossal volume of the deep oceans. A section on primary production emphasizes how almost all deep-sea life depends ultimately on the phytoplankton at the surface and the export flux to deeper water. The ultimate beneficiaries of this export, the populations on the deep-sea floor, are then discussed, together with the unique features of life fuelled by chemosynthesis at hydrothermal vents and cold seeps. The horizontal and vertical distribution patterns of deep-sea animals, and their changes in time and space, are controlled by physical, biological and historical factors. The rapid reduction of biomass with depth puts a high priority on efficient prey capture and energy conservation. Chapters on energy efficiency, mechanoreception, chemoreception and vision reveal the extraordinary adaptations necessary for success. Accounts of the effector systems involved in colour, camouflage and bioluminescence heighten the concept of a different world. A chapter on animal life styles emphasizes the links between size, sex, and seasonality, visible in the contrasting benefits of gigantism, dwarf males and the ability to respond to a periodic influx of food from the surface. The final chapter and appendix deal with the unique and exciting variety of life in the deep ocean, formalized as biodiversity. Its different expression on the sea floor and in midwater invites both comparisons with the rain forest and concerns about its fragility, taking the reader back to the emphasis in the first chapter on how little we still know about this critical habitat. The Biology of the Deep Ocean complements the two companion volumes on the biology of littoral and estuarine habitats and is designed to be accessible to all marine scientists, student and professional.

Deep Sciences For Computing And Communications

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Author : Kottilingam Kottursamy
language : en
Publisher: Springer Nature
Release Date : 2023-03-18

Deep Sciences For Computing And Communications written by Kottilingam Kottursamy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-18 with Computers categories.

This book constitutes selected papers presented during the First International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022, held in Chennai, India, in March 2022. The 27 papers presented were thoroughly reviewed and selected from 97 submissions. They are organized in topical sections as follows: ​classification and regression problems for communication paradigms; deep learning and vision computing; deep- recurrent neural network (RNN) for industrial informatics; extended AI for heterogeneous edge.

Deep Learning Applications In Operations Research

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Author : Aryan Chaudhary
language : en
Publisher: CRC Press
Release Date : 2024-12-30

Deep Learning Applications In Operations Research written by Aryan Chaudhary and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Computers categories.

The model-based approach for carrying out the classification and identification of tasks has led to progression of the machine learning paradigm in diversified fields of technology. Deep Learning Applications in Operations Research presents the varied applications of this model-based approach. Apart from the classification process, the machine learning (ML) model has become effective enough to predict future trends of any sort of phenomenon. Such fields as object classification, speech recognition, and face detection have sought extensive applications of artificial intelligence (AI) and machine learning as well. The application of AI and ML has also become increasingly common in the domains of agriculture, health sectors, and insurance. Operations research is the branch of mathematics used to perform many operational tasks in other allied domains, and the book explains how the implementation of automated strategies in optimization and parameter selection can be carried out by AI and ML. Operations research has many beneficial aspects to aid in decision making. Arriving at the proper decision depends on a number of factors; this book examines how AI and ML can be used to model equations and define constraints to solve problems more easily and discover proper and valid solutions. This book also looks at how automation plays a significant role in minimizing human labor and thereby minimizes overall time and cost. Case studies examine how to streamline operations and unearth data to make better business decisions. The concepts presented in this book can bring about and guide unique research directions to the future application of AI-enabled technologies.

Deep Learning For Cognitive Computing Systems

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Author : M.G. Sumithra
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-12-31

Deep Learning For Cognitive Computing Systems written by M.G. Sumithra and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-31 with Computers categories.

Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.