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  • Community Vision and Leadership in Practice : A Sustainable Approach
    Community Vision and Leadership in Practice : A Sustainable Approach

    This book is about building and maintaining involved, sustainable, and inclusive communities from the ground up during a period of unprecedented growth and global change.It explains the concepts and principles of community and sustainability and provides students with a framework of sustainable community planning to put into practice.It is also designed to help communities everywhere identify and reconnect the true essence of their ecological setting with the objective of raising their quality of life by increasing social, environmental, and economic sustainability. Features:Provides up-to-date frameworks for sustainable community planning processes and case studies on community planningExplains tools for sustainable planning in accessible (non-specialist) languageIllustrates a roadmap to an inclusive, collaborative futureExplains aspects of sustainable community planning to maximize ecological ecosystem services and climate co-benefits simultaneouslyIncludes discussion questions and suggestions following each chapterIntended for undergraduate and graduate students taking leadership and community courses with an emphasis on sustainable practices and ethics, as well as for citizens and professionals involved in community projects related to sustainability, the authors provide a forward-thinking approach, showing readers that they are capable of making a positive impact on the future of community development through sustainable approaches and ethical leadership practices.

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  • Deep Learning for Vision Systems
    Deep Learning for Vision Systems

    Computer vision is central to many leading-edge innovations, including self-driving cars, drones, augmented reality, facial recognition, and much, much more.Amazing new computer vision applications are developed every day, thanks to rapid advances in AI and deep learning (DL). Deep Learning for Vision Systems teaches you the concepts and tools for building intelligent, scalable computer vision systems that can identify and react to objects in images, videos, and real life.With author Mohamed Elgendy's expert instruction and illustration of real-world projects, you'll finally grok state-of-the-art deep learning techniques, so you can build, contribute to, and lead in the exciting realm of computer vision! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

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  • Participatory Culture, Community, and Play : Learning from Reddit
    Participatory Culture, Community, and Play : Learning from Reddit

    What does online community look like in the age of social networking?How do participatory culture platforms reflect both their designers’ intentions and the desires of their users?In this incisive and timely work, Adrienne L. Massanari discusses how culture is created and challenged on Reddit.com, the self-proclaimed «front page of the internet».Reddit enables the sharing of original and reposted content from around the web, and provides a platform for like-minded individuals to commune around topics of interest – everything from the joys of drinking beer in a shower (/r/showerbeer) to celebrating the pleasures of tidy penmanship (/r/penmanshipporn).Massanari’s ethnographic work provides a detailed examination of the contradictions that shape Reddit’s culture and how they reflect its role as an epicenter of geek culture.The book explores the ways in which community on Reddit is formed and solidified through play and humor, and the complex ways in which Redditors come together, which demonstrate a deep capacity for altruism and charitable giving, but can easily lapse into mob action.It also explores the community’s troubling gender and racial politics and how some Redditors are carving out their own space on the site to fight back.

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  • Creating Gaia Culture : Vision and Workbook
    Creating Gaia Culture : Vision and Workbook

    Humanity stands at the threshold of a new phase of Earth's planetary evolution.Breathtaking possibilities - in tune with the evolutionary path of the universe - are now available.Yet the question arises: Does humanity have the ideas, foresight and potential for action that could create a culture that corresponds to the planet's transformation?In the midst of distressing ecological crises, Marko Pogacnik offers fresh hope.Having worked intensively in the fields of holistic ecology (geomancy) and Earth-healing for four decades, he now formulates a vision of a culture based on co-creation with Gaia (the Earth), her elemental worlds and beings from parallel evolutions.Creating Gaia Culture is also a workbook, featuring dozens of drawings and meditative exercises to help transcend mental obstacles by cultivating the quality of living imagination.Pogacnik - UNO Goodwill Ambassador and UNESCO Artist for Peace - presents numerous ways to collaborate with the process of creating Gaia culture.He allows us to look into the primeval source of the future by interpreting the ancient book of the biblical Apocalypse - a text that holds the secret of Earth changes in a coded vision of a new human civilization - and uses his experiences, visions, dream stories and communications with beings from parallel worlds to trigger pictures that can enable a new human culture become a tactile reality.

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  • Can vision improve?

    Yes, vision can improve in some cases. For example, wearing prescription glasses or contact lenses can help correct refractive errors such as nearsightedness, farsightedness, and astigmatism. Additionally, certain eye exercises and vision therapy techniques may help improve focus, eye coordination, and overall visual function. It is important to consult with an eye care professional to determine the best course of action for improving vision.

  • What impairs vision?

    Vision can be impaired by a variety of factors, including eye diseases such as glaucoma, cataracts, and macular degeneration. Refractive errors such as nearsightedness, farsightedness, and astigmatism can also impair vision. Additionally, injuries to the eye or head, as well as certain medications and medical conditions such as diabetes, can contribute to impaired vision. Finally, aging can also lead to changes in vision, such as presbyopia.

  • What are the symptoms of double vision and blurry vision?

    Double vision, also known as diplopia, is a condition where a person sees two images of a single object. This can be caused by misalignment of the eyes, nerve damage, or certain medical conditions. Blurry vision, on the other hand, is a loss of sharpness in vision, making objects appear out of focus or hazy. Both double vision and blurry vision can be symptoms of underlying health issues such as diabetes, cataracts, or neurological disorders. It is important to seek medical attention if experiencing these symptoms to determine the underlying cause and receive appropriate treatment.

  • Can Dolby Vision be used on a TV without Dolby Vision?

    No, Dolby Vision cannot be used on a TV that does not support Dolby Vision. Dolby Vision is a high dynamic range (HDR) format that requires both content and display devices to be compatible with it in order to experience its benefits. If a TV does not support Dolby Vision, it will not be able to display content in Dolby Vision format, and the user will not be able to take advantage of its enhanced color, contrast, and brightness capabilities.

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  • Computer Vision : Principles, Algorithms, Applications, Learning
    Computer Vision : Principles, Algorithms, Applications, Learning

    Computer Vision: Principles, Algorithms, Applications, Learning (previously entitled Computer and Machine Vision) clearly and systematically presents the basic methodology of computer vision, covering the essential elements of the theory while emphasizing algorithmic and practical design constraints.This fully revised fifth edition has brought in more of the concepts and applications of computer vision, making it a very comprehensive and up-to-date text suitable for undergraduate and graduate students, researchers and R&D engineers working in this vibrant subject. See an interview with the author explaining his approach to teaching and learning computer vision - http://scitechconnect.elsevier.com/computer-vision/

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  • Practical Vision Science : Learning Through Experimentation
    Practical Vision Science : Learning Through Experimentation

    This workbook provides a collection of experiments and observations that use physical materials (rather than digital displays or resources) to reveal fundamental properties of the human visual system. Practical Vision Science centers discovery, observation, and critical thinking.By observing and manipulating visual phenomena, readers gain insights regarding visual processing from the outside world into high-level areas of the visual cortex.The text covers geometric optics, image formation, early stages of visual processing, and inferences regarding brightness, color, depth, motion, and form.The goal is to highlight the critical role that observation of one’s own sensory experiences plays in vision science, while introducing phenomena that provide clues about the computations and constraints that shape our experience of the visual world.Each exercise can be completed with everyday materials, and the text includes discussion of key phenomena readers should be able to observe and the implications of these effects for underlying mechanisms that support visual experience in each case. Practical Vision Science is an essential text for upper undergraduate and postgraduate students of Sensation and Perception, providing the opportunity to learn by doing things rather than reading facts about the visual system on the page.

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  • Computer Vision : Models, Learning, and Inference
    Computer Vision : Models, Learning, and Inference

    This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme.It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data.With minimal prerequisites, the book starts from the basics of probability and model fitting and works up to real examples that the reader can implement and modify to build useful vision systems.Primarily meant for advanced undergraduate and graduate students, the detailed methodological presentation will also be useful for practitioners of computer vision. • Covers cutting-edge techniques, including graph cuts, machine learning and multiple view geometry • A unified approach shows the common basis for solutions of important computer vision problems, such as camera calibration, face recognition and object tracking • More than 70 algorithms are described in sufficient detail to implement • More than 350 full-color illustrations amplify the text • The treatment is self-contained, including all of the background mathematics • Additional resources at www.computervisionmodels.com

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  • Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow
    Learning Deep Learning : Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

    NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results "To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources.This book is timely and relevant towards accomplishing these lofty goals." -- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA "Ekman uses a learning technique that in our experience has proven pivotal to success—asking the reader to think about using DL techniques in practice.His straightforward approach is refreshing, and he permits the reader to dream, just a bit, about where DL may yet take us." -- From the foreword by Dr. Craig Clawson, Director, NVIDIA Deep Learning Institute Deep learning (DL) is a key component of today's exciting advances in machine learning and artificial intelligence.Learning Deep Learning is a complete guide to DL. Illuminating both the core concepts and the hands-on programming techniques needed to succeed, this book is ideal for developers, data scientists, analysts, and others--including those with no prior machine learning or statistics experience. After introducing the essential building blocks of deep neural networks, such as artificial neurons and fully connected, convolutional, and recurrent layers, Magnus Ekman shows how to use them to build advanced architectures, including the Transformer.He describes how these concepts are used to build modern networks for computer vision and natural language processing (NLP), including Mask R-CNN, GPT, and BERT. And he explains how a natural language translator and a system generating natural language descriptions of images. Throughout, Ekman provides concise, well-annotated code examples using TensorFlow with Keras.Corresponding PyTorch examples are provided online, and the book thereby covers the two dominating Python libraries for DL used in industry and academia.He concludes with an introduction to neural architecture search (NAS), exploring important ethical issues and providing resources for further learning. Explore and master core concepts: perceptrons, gradient-based learning, sigmoid neurons, and back propagationSee how DL frameworks make it easier to develop more complicated and useful neural networksDiscover how convolutional neural networks (CNNs) revolutionize image classification and analysisApply recurrent neural networks (RNNs) and long short-term memory (LSTM) to text and other variable-length sequencesMaster NLP with sequence-to-sequence networks and the Transformer architectureBuild applications for natural language translation and image captioning NVIDIA's invention of the GPU sparked the PC gaming market.The company's pioneering work in accelerated computing--a supercharged form of computing at the intersection of computer graphics, high-performance computing, and AI--is reshaping trillion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many others. Register your book for convenient access to downloads, updates, and/or corrections as they become available.See inside book for details.

    Price: 48.99 £ | Shipping*: 0.00 £
  • Has the vision improved?

    Yes, the vision has improved. With the help of corrective lenses or surgery, many people have experienced significant improvement in their vision. Additionally, advancements in technology have led to the development of more effective and precise vision correction procedures. Overall, there are now more options available for individuals to improve their vision and address various eye conditions.

  • Can my vision improve?

    Yes, it is possible for your vision to improve with the help of corrective measures such as glasses, contact lenses, or refractive surgery. Additionally, practicing good eye health habits like eating a balanced diet, protecting your eyes from UV rays, and taking regular breaks from screens can also help maintain and improve your vision. However, it is important to consult with an eye care professional to determine the best course of action for your specific vision needs.

  • What are vision disorders?

    Vision disorders are conditions that affect the eyes and the ability to see clearly. These disorders can range from common issues like nearsightedness and farsightedness to more serious conditions like glaucoma, cataracts, and macular degeneration. Vision disorders can cause symptoms such as blurry vision, difficulty seeing at night, eye pain, and even vision loss if left untreated. It is important to have regular eye exams to detect and manage vision disorders early on.

  • What is spatial vision?

    Spatial vision refers to the ability of the visual system to perceive and interpret the spatial relationships between objects in the environment. It allows us to understand the size, shape, distance, and location of objects in our surroundings. Spatial vision is essential for tasks such as navigating through space, interacting with objects, and judging depth and perspective. It is a complex process that involves the integration of visual information from both eyes to create a coherent representation of the three-dimensional world.

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