This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability. Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras. You'll learn how to: Design ML architecture for computer vision tasks Select a model (such as ResNet, SqueezeNet, or EfficientNet) appropriate to your task Create an end-to-end ML pipeline to train, evaluate, deploy, and explain your model Preprocess images for data augmentation and to support learnability Incorporate explainability and responsible AI best practices Deploy image models as web services or on edge devices Monitor and manage ML models

Build a Better Vision Statement summarizes scientific research, along with advice from thirty entrepreneurs and CEOs of well-known and award winning companies, on how to write, communicate, and implement an effective vision statement. This book contains dozens of company vision statements along with stories from entrepreneurs and CEOs describing how and why they created their vision statements. Several decades of studies have demonstrated the profound impact that a vision statement can have on a company’s performance and growth, but only if the vision statement reflects certain characteristics. Build a Better Vision Statement presents proven principles for writing a motivational vision statement and offers guidance to company leaders about when and how to write a vision statement. Build a Better Vision Statement is a must-have for any business leader or entrepreneur looking for a low-cost, high-impact, proven approach for growing their business.

Having a clear, compelling vision--and getting buy-in from your team--is essential to effective leadership. If you don't know where you're going, how on earth will you get there? But how do you craft that vision? How do you get others on board? And how do you put that vision into practice at every level of your organization? In The Vision Driven Leader, New York Times bestselling author Michael Hyatt offers six tools for crafting an irresistible vision for your business, rallying your team around the vision, and distilling it into actionable plans that drive results. Based on Michael's 40 years of experience as an entrepreneur and executive, backed by insights from organizational science and psychology, and illustrated by case studies and stories from multiple industries, The Vision Driven Leader takes you step-by-step from why to what and then how. Your business will never be the same.

Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Computer Vision is a rapidly expanding area and it is becoming progressively easier for developers to make use of this field due to the ready availability of high quality libraries (such as OpenCV 2). This text is intended to facilitate the practical use of computer vision with the goal being to bridge the gap between the theory and the practical implementation of computer vision. The book will explain how to use the relevant OpenCV library routines and will be accompanied by a full working program including the code snippets from the text. This textbook is a heavily illustrated, practical introduction to an exciting field, the applications of which are becoming almost ubiquitous. We are now surrounded by cameras, for example cameras on computers & tablets/ cameras built into our mobile phones/ cameras in games consoles; cameras imaging difficult modalities (such as ultrasound, X-ray, MRI) in hospitals, and surveillance cameras. This book is concerned with helping the next generation of computer developers to make use of all these images in order to develop systems which are more intuitive and interact with us in more intelligent ways. Explains the theory behind basic computer vision and provides a bridge from the theory to practical implementation using the industry standard OpenCV libraries Offers an introduction to computer vision, with enough theory to make clear how the various algorithms work but with an emphasis on practical programming issues Provides enough material for a one semester course in computer vision at senior undergraduate and Masters levels Includes the basics of cameras and images and image processing to remove noise, before moving on to topics such as image histogramming; binary imaging; video processing to detect and model moving objects; geometric operations & camera models; edge detection; features detection; recognition in images Contains a large number of vision application problems to provide students with the opportunity to solve real problems. Images or videos for these problems are provided in the resources associated with this book which include an enhanced eBook

"Beyond elections, public participation, and citizen input, democracy must produce wise public policy or we're in real trouble. In Empowering Public Wisdom, lifelong activist Tom Atlee proposes innovative and practical ideas for collecting and distilling the wisdom of ordinary people in order to infuse the political process with common sense and provide people with ownership of the process. Empowering Public Wisdom recognizes currently popular forms of progressive democracy advocates, such as citizen participation and voter education, but suggests that what is really needed is a re-thinking of the very concept of democracy; Atlee advocates the use of ""public wisdom,"" a collective intelligence that can be drawn upon to guide public policy and action. Reaching beyond partisan politics, Atlee explores how a diversity of views can be engaged around public issues in ways that generate a coherent, shared ""voice of the people"" that takes most or all of the population's perspectives and needs into account. Atlee's core approach is through ""citizen deliberative councils,"" in which a small group of people randomly selected creates a ""mini-public"" or a microcosm of the

An overview of Prince Charles' philosophy, including his ideas on ecology, organic agriculture, holistic health, religion, architecture, and education.

A practical guide designed to get you from basics to current state of art in computer vision systems. Key Features Master the different tasks associated with Computer Vision and develop your own Computer Vision applications with ease Leverage the power of Python, Tensorflow, Keras, and OpenCV to perform image processing, object detection, feature detection and more With real-world datasets and fully functional code, this book is your one-stop guide to understanding Computer Vision Book Description In this book, you will find several recently proposed methods in various domains of computer vision. You will start by setting up the proper Python environment to work on practical applications. This includes setting up libraries such as OpenCV, TensorFlow, and Keras using Anaconda. Using these libraries, you'll start to understand the concepts of image transformation and filtering. You will find a detailed explanation of feature detectors such as FAST and ORB; you'll use them to find similar-looking objects. With an introduction to convolutional neural nets, you will learn how to build a deep neural net using Keras and how to use it to classify the Fashion-MNIST dataset. With regard to object detection, you will learn the implementation of a simple face detector as well as the workings of complex deep-learning-based object detectors such as Faster R-CNN and SSD using TensorFlow. You'll get started with semantic segmentation using FCN models and track objects with Deep SORT. Not only this, you will also use Visual SLAM techniques such as ORB-SLAM on a standard dataset. By the end of this book, you will have a firm understanding of the different computer vision techniques and how to apply them in your applications. What you will learn Learn the basics of image manipulation with OpenCV Implement and visualize image filters such as smoothing, dilation, histogram equalization, and more Set up various libraries and platforms, such as OpenCV, Keras, and Tensorflow, in order to start using computer vision, along with appropriate datasets for each chapter, such as MSCOCO, MOT, and Fashion-MNIST Understand image transformation and downsampling with practical implementations. Explore neural networks for computer vision and convolutional neural networks using Keras Understand working on deep-learning-based object detection such as Faster-R-CNN, SSD, and more Explore deep-learning-based object tracking in action Understand Visual SLAM techniques such as ORB-SLAM Who this book is for This book is for machine learning practitioners and deep learning enthusiasts who want to understand and implement various tasks associated with Computer Vision and image processing in the most practical manner possible. Some programming experience would be beneficial while knowing Python would be an added bonus.

Presents an emerging model in which occupational therapists practice as part of a team of vision rehabilitation professionals serving adults with low vision. Occupational therapists offer a unique contribution to the vision rehabilitation team, with a focus on meaningful occupational goals, the incorporation of occupation into therapy, and the orchestration of environmental, social, and non-visual personal factors into a treatment plan. The authors have developed a practical and straightforward text outlining an evaluation approach to interventions that focus on recovering occupational performance in adults.

The Eye: Basic Sciences in Practice provides highly accessible, concise coverage of all the essential basic science required by today's ophthalmologists and optometrists in training. It is also essential reading for those embarking on a career in visual and ophthalmic science, as well as an invaluable, current refresher for the range of practitioners working in this area. This new fourth edition has now been fully revised and updated in line with current curricula, key research developments and clinical best practice. It succinctly incorporates the massive strides being made by genetics and functional genomics based on the Human Genome Project, the new understanding of how the microbiome affects all aspects of immunology, the remarkable progress in imaging technology now applied to anatomy and neurophysiology, as well as exciting new molecular and other diagnostic methodologies now being used in microbiology and pathology. All this and more collectively brings a wealth of new knowledge to students and practitioners in the fields of ophthalmology and visual science. For the first time, this (print) edition also now comes with bonus access to the complete, fully searchable electronic text - including carefully selected additional information and new video content to further explain and expand on key concepts - making The Eye a more flexible, comprehensive and engaging learning package than ever before. The only all-embracing textbook of basic science suitable for trainee ophthalmologists, optometrists and vision scientists - other books concentrate on the individual areas such as anatomy. Attractive page design with clear, colour diagrams and text boxes make this a much more accessible book to learn from than many postgraduate textbooks. Presents in a readable form an account of all the basic sciences necessary for an understanding of the eye - anatomy, embryology, genetics, biochemistry, physiology, pharmacology, immunology, microbiology and infection and pathology. More on molecular pathology. Thorough updating of the sections on pathology, immunology, pharmacology and immunology. Revision of all other chapters. More colour illustrations Comes with complete electronic version

This introduction to the field of practical theology reclaims a theological vision for the life and work of the church. Pete Ward dispels the myth that practical theology is a distraction from the "real" tasks of ministry or from serious academic theological work. He argues that practical theology is part of the everyday life of the church and that there are a variety of possible approaches, helping readers evaluate the approach that is most appropriate to their ministerial context and theological tradition. This reliable, accessible resource will work well for those in training or in ministry.