Download or read book Deep and Wide written by Andy Stanley and published by Zondervan. This book was released on 2016-02-09 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Create a church unchurched people absolutely love to attend. Deep and Wide provides church leaders with an in-depth look into North Point Community Church and its strategy for creating churches unchurched people absolutely love to attend. Now available in an expanded edition, this trusted resource has sold over 250,000 copies. In it, Andy Stanley explains: His strategy for preaching and programming to both mature believers and cynical unbelievers North Point's spiritual formation model: The Five Faith Catalysts Three essential ingredients for creating irresistible environments How to tackle the challenge of transitioning a local congregation If your team is more concerned with who you are reaching than who you are keeping, the expanded edition of Deep and Wide will be more than a book you read; it will be a resource you come back to over and over! New bonus content includes a study guide, church staff helps, and an interview with Andy on the most frequently asked questions about Deep and Wide.
Download or read book Proceedings of the 1st Workshop on Deep Learning for Recommender Systems written by Alexandros Karatzoglou and published by . This book was released on 2016-09-15 with total page 47 pages. Available in PDF, EPUB and Kindle. Book excerpt: Workshop on Deep Learning for Recommender Systems Sep 15, 2016-Sep 15, 2016 Boston, USA. You can view more information about this proceeding and all of ACM�s other published conference proceedings from the ACM Digital Library: http://www.acm.org/dl.
Download or read book Wisdom Wide and Deep written by Shaila Catherine and published by Simon and Schuster. This book was released on 2011-10-10 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wisdom Wide and Deep is a comprehensive guide to an in-depth training that emphasizes the application of concentrated attention (jhana) to profound and liberating insight (vipassana). With calm, tranquility, and composure established through a practical experience of jhana meditators are able to halt the seemingly endless battle against hindrances, eliminate distraction, and facilitate a penetrative insight into the subtle nature of matter and mind. It was for this reason the Buddha frequently exhorted his students, Wisdom Wide and Deep follows and amplifies the teachings in Shaila Catherine's acclaimed first book, Focused and Fearless: A Meditator's Guide to States of Deep Joy, Calm, and Clarity. Readers will learn to develop this profound stability, sustain an in-depth examination of the nuances of mind and matter, and ultimately unravel deeply conditioned patterns that perpetuate suffering. This fully detailed manual for the mind sure to become a trusted companion to many inner explorers.
Download or read book Finding Deep and Wide written by Shellie Rushing Tomlinson and published by Salem Books. This book was released on 2020-01-28 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stop settling for the life you have and live the one Jesus died to give you. Book summary/description: Does your relationship with God feel distant and unfulfilled? Are you exhausted by dutifully checking off a spiritual to-do list? Do you yearn for a more satisfying and joyful walk with Christ that feels less like hard work? Along comes a book daring us not to settle for anything less than what the Bible promises. Let Shellie Rushing Tomlinson illuminate a path that leads you away from formulaic, duty-bound Christianity toward a deep and wide life spent joyfully surrendered to Jesus. With her signature Southern warmth and humor and poignant storytelling, Shellie retells familiar Bible stories and recasts them in a grace-filled way that will help you see the life Jesus offers you so freely. Her honest, heartfelt, and often hilarious stories of family life in Louisiana reveal Shellie’s own journey from being a rule-following Christian to discovering “the joy of dying to all that trying.” In Finding Deep and Wide, Shellie invites you to stop trying to please God, and be beautifully transformed by Him instead. Ideal for individual and group study, Finding Deep and Wide includes questions for reflection and growth at the end of each chapter.
Download or read book A Hunger So Wide and So Deep written by Becky W. Thompson and published by U of Minnesota Press. This book was released on 1994 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first of its kind, A Hunger So Wide and So Deep challenges the popular notion that eating problems occur only among white, well-to-do, heterosexual women. Becky W. Thompson shows us how race, class, sexuality, and nationality can shape women's eating problems. Based on in-depth life history interviews with African-American, Latina, and lesbian women, her book chronicles the effects of racism, poverty, sexism, acculturation, and sexual abuse on women's bodies and eating patterns. A Hunger So Wide and So Deep dispels popular stereotypes of anorexia and bulimia as symptoms of vanity and underscores the risks of mislabeling what is often a way of coping with society's own disorders. By featuring the creative ways in which women have changed their unwanted eating patterns and regained trust in their bodies and appetites, Thompson offers a message of hope and empowerment that applies across race, class, and sexual preference.
Download or read book The Night Is Deep and Wide written by Gillian Sze and published by Orca Book Publishers. This book was released on 2021-03-16 with total page 23 pages. Available in PDF, EPUB and Kindle. Book excerpt: ★ “A lovely visual lullaby to soothe youngest readers to sleep.”—Publishers Weekly, starred review Rich imagery, gentle rhythm and soothing repetition will lull your little one to sleep as the tulips close for the night, one by one. In this bedtime story written as an Italian villanelle, poet Gillian Sze makes use of the poetic forms of cyclic pattern and rhyme scheme to create a melodious lullaby. A young child comes in from picking flowers as the creatures around their home all settle down for the evening. Songbirds curl against their mothers’ sides, the house slumps and sighs low, a hush settles as times slows. And little readers are invited to rest their heads and be soothed to sleep as moonlight falls on eyes that close.
Download or read book Efficient Processing of Deep Neural Networks written by Vivienne Sze and published by Springer Nature. This book was released on 2022-05-31 with total page 254 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a structured treatment of the key principles and techniques for enabling efficient processing of deep neural networks (DNNs). DNNs are currently widely used for many artificial intelligence (AI) applications, including computer vision, speech recognition, and robotics. While DNNs deliver state-of-the-art accuracy on many AI tasks, it comes at the cost of high computational complexity. Therefore, techniques that enable efficient processing of deep neural networks to improve key metrics—such as energy-efficiency, throughput, and latency—without sacrificing accuracy or increasing hardware costs are critical to enabling the wide deployment of DNNs in AI systems. The book includes background on DNN processing; a description and taxonomy of hardware architectural approaches for designing DNN accelerators; key metrics for evaluating and comparing different designs; features of DNN processing that are amenable to hardware/algorithm co-design to improve energy efficiency and throughput; and opportunities for applying new technologies. Readers will find a structured introduction to the field as well as formalization and organization of key concepts from contemporary work that provide insights that may spark new ideas.
Download or read book Deep Learning with TensorFlow written by Giancarlo Zaccone and published by Packt Publishing Ltd. This book was released on 2017-04-24 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive TensorFlow guide About This Book Learn how to implement advanced techniques in deep learning with Google's brainchild, TensorFlow Explore deep neural networks and layers of data abstraction with the help of this comprehensive guide Real-world contextualization through some deep learning problems concerning research and application Who This Book Is For The book is intended for a general audience of people interested in machine learning and machine intelligence. A rudimentary level of programming in one language is assumed, as is a basic familiarity with computer science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to the level of elementary linear algebra and calculus. What You Will Learn Learn about machine learning landscapes along with the historical development and progress of deep learning Learn about deep machine intelligence and GPU computing with the latest TensorFlow 1.x Access public datasets and utilize them using TensorFlow to load, process, and transform data Use TensorFlow on real-world datasets, including images, text, and more Learn how to evaluate the performance of your deep learning models Using deep learning for scalable object detection and mobile computing Train machines quickly to learn from data by exploring reinforcement learning techniques Explore active areas of deep learning research and applications In Detail Deep learning is the step that comes after machine learning, and has more advanced implementations. Machine learning is not just for academics anymore, but is becoming a mainstream practice through wide adoption, and deep learning has taken the front seat. As a data scientist, if you want to explore data abstraction layers, this book will be your guide. This book shows how this can be exploited in the real world with complex raw data using TensorFlow 1.x. Throughout the book, you'll learn how to implement deep learning algorithms for machine learning systems and integrate them into your product offerings, including search, image recognition, and language processing. Additionally, you'll learn how to analyze and improve the performance of deep learning models. This can be done by comparing algorithms against benchmarks, along with machine intelligence, to learn from the information and determine ideal behaviors within a specific context. After finishing the book, you will be familiar with machine learning techniques, in particular the use of TensorFlow for deep learning, and will be ready to apply your knowledge to research or commercial projects. Style and approach This step-by-step guide will explore common, and not so common, deep neural networks and show how these can be exploited in the real world with complex raw data. With the help of practical examples, you will learn how to implement different types of neural nets to build smart applications related to text, speech, and image data processing.
Download or read book Going Deep and Wide written by Andy Stanley and published by Zondervan. This book was released on 2017-08-01 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every Sunday people walk onto your church campus and decide if they will return the following week before the preacher even opens his mouth. Many of those people don't know what to make of Jesus. They're hesitant to be in a church. They're not sure they belong. But over and over in the pages of the gospels, we see something extraordinary. People who were nothing like Jesus liked Jesus. Shouldn't that be true of his church as well? In Going Deep & Wide, Andy Stanley lays out a blueprint for becoming that kind of church. Going Deep & Wide offers practical steps to help church leaders create irresistible environments, define ministry goals, and communicate more effectively with unbelievers. Each section includes discussion materials that walk you more deeply into the content of Deep & Wide and invites conversations about how to apply what you've learned.
Download or read book The Prodigal Church written by Jared C. Wilson and published by Crossway. This book was released on 2015-04-16 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Pastors want to reach the lost with the good news of Jesus. However, we've too often assumed this requires loud music, flashy lights, and skinny jeans. In this gentle manifesto, Jared Wilson—a pastor who knows what it's like to serve in a large attractional church—challenges pastors to reconsider their priorities when it comes to how they "do church" and reach people in their communities. Writing with the grace and kindness of a trusted friend, Wilson encourages pastors to reexamine the Bible's teaching, not simply return to a traditional model for tradition's sake. He then sets forth an alternative to both the attractional and the traditional models: an explicitly biblical approach that is gospel focused, grace based, and fruit oriented.
Download or read book Deep Learning Interviews written by Shlomo Kashani and published by . This book was released on 2020-12-09 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The book's contents is a large inventory of numerous topics relevant to DL job interviews and graduate level exams. That places this work at the forefront of the growing trend in science to teach a core set of practical mathematical and computational skills. It is widely accepted that the training of every computer scientist must include the fundamental theorems of ML, and AI appears in the curriculum of nearly every university. This volume is designed as an excellent reference for graduates of such programs.
Download or read book Deep Learning written by Michael Fullan and published by Corwin Press. This book was released on 2017-11-06 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: New Pedagogies for Deep Learning (NDPL) provides a comprehensive strategy for systemwide transformation. Using the 6 competencies of NDPL and a wealth of vivid examples, Fullan re-defines and re-examines what deep learning is and identifies the practical strategies for revolutionizing learning and leadership.
Download or read book Grokking Deep Learning written by Andrew W. Trask and published by Simon and Schuster. This book was released on 2019-01-23 with total page 475 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Deep learning, a branch of artificial intelligence, teaches computers to learn by using neural networks, technology inspired by the human brain. Online text translation, self-driving cars, personalized product recommendations, and virtual voice assistants are just a few of the exciting modern advancements possible thanks to deep learning. About the Book Grokking Deep Learning teaches you to build deep learning neural networks from scratch! In his engaging style, seasoned deep learning expert Andrew Trask shows you the science under the hood, so you grok for yourself every detail of training neural networks. Using only Python and its math-supporting library, NumPy, you'll train your own neural networks to see and understand images, translate text into different languages, and even write like Shakespeare! When you're done, you'll be fully prepared to move on to mastering deep learning frameworks. What's inside The science behind deep learning Building and training your own neural networks Privacy concepts, including federated learning Tips for continuing your pursuit of deep learning About the Reader For readers with high school-level math and intermediate programming skills. About the Author Andrew Trask is a PhD student at Oxford University and a research scientist at DeepMind. Previously, Andrew was a researcher and analytics product manager at Digital Reasoning, where he trained the world's largest artificial neural network and helped guide the analytics roadmap for the Synthesys cognitive computing platform. Table of Contents Introducing deep learning: why you should learn it Fundamental concepts: how do machines learn? Introduction to neural prediction: forward propagation Introduction to neural learning: gradient descent Learning multiple weights at a time: generalizing gradient descent Building your first deep neural network: introduction to backpropagation How to picture neural networks: in your head and on paper Learning signal and ignoring noise:introduction to regularization and batching Modeling probabilities and nonlinearities: activation functions Neural learning about edges and corners: intro to convolutional neural networks Neural networks that understand language: king - man + woman == ? Neural networks that write like Shakespeare: recurrent layers for variable-length data Introducing automatic optimization: let's build a deep learning framework Learning to write like Shakespeare: long short-term memory Deep learning on unseen data: introducing federated learning Where to go from here: a brief guide
Download or read book Deep Learning written by Li Deng and published by . This book was released on 2014 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks
Download or read book An Introduction to Deep Reinforcement Learning written by Vincent Francois-Lavet and published by Foundations and Trends (R) in Machine Learning. This book was released on 2018-12-20 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This field of research has recently been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine. Deep RL opens up many new applications in domains such as healthcare, robotics, smart grids, finance, and many more. This book provides the reader with a starting point for understanding the topic. Although written at a research level it provides a comprehensive and accessible introduction to deep reinforcement learning models, algorithms and techniques. Particular focus is on the aspects related to generalization and how deep RL can be used for practical applications. Written by recognized experts, this book is an important introduction to Deep Reinforcement Learning for practitioners, researchers and students alike.
Download or read book Blue written by Nana Ekua Brew-Hammond and published by Knopf Books for Young Readers. This book was released on 2022-02-15 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover a world of creativity and tradition in this fascinating picture book that explores the history and cultural significance of the color blue. From a critically acclaimed author and an award-winning illustrator comes a vivid, gorgeous book for readers of all ages. NAMED ONE OF THE BEST BOOKS OF THE YEAR BY NPR • New York Public Library • Chicago Public Library • Kirkus Reviews For centuries, blue powders and dyes were some of the most sought-after materials in the world. Ancient Afghan painters ground mass quantities of sapphire rocks to use for their paints, while snails were harvested in Eurasia for the tiny amounts of blue that their bodies would release. And then there was indigo, which was so valuable that American plantations grew it as a cash crop on the backs of African slaves. It wasn't until 1905, when Adolf von Baeyer created a chemical blue dye, that blue could be used for anything and everything--most notably that uniform of workers everywhere, blue jeans. Nana Ekua Brew-Hammond's riveting text combined with stunning illustrations from Caldecott Honor Artist Daniel Minter, this vibrant and fascinating picture book follows one color's journey through time and across the world, as it becomes the blue we know today.
Download or read book Deep Learning for Robot Perception and Cognition written by Alexandros Iosifidis and published by Academic Press. This book was released on 2022-02-04 with total page 638 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Learning for Robot Perception and Cognition introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks. - Presents deep learning principles and methodologies - Explains the principles of applying end-to-end learning in robotics applications - Presents how to design and train deep learning models - Shows how to apply deep learning in robot vision tasks such as object recognition, image classification, video analysis, and more - Uses robotic simulation environments for training deep learning models - Applies deep learning methods for different tasks ranging from planning and navigation to biosignal analysis
