Proceedings of the 1st Workshop on Deep Learning for Recommender Systems PDF Download
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Author: Alexandros Karatzoglou
Publisher:
ISBN: 9781450347952
Category : Computer science
Languages : en
Pages : 47
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Book Description
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.
Author: Alexandros Karatzoglou
Publisher:
ISBN: 9781450347952
Category : Computer science
Languages : en
Pages : 47
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Book Description
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.
Author: Andy Stanley
Publisher: Zondervan
ISBN: 031052749X
Category : Religion
Languages : en
Pages : 400
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Book Description
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.
Author: Shaila Catherine
Publisher: Simon and Schuster
ISBN: 086171623X
Category : Body, Mind & Spirit
Languages : en
Pages : 596
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Book Description
"A valuable work as both a practice guide and a reference manual."---Guy Armstrong, insight meditation teacher --Book Jacket.
Author: Shellie Rushing Tomlinson
Publisher: Salem Books
ISBN: 1684510007
Category : Religion
Languages : en
Pages : 226
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Book Description
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.
Author: Vivienne Sze
Publisher: Springer Nature
ISBN: 3031017668
Category : Technology & Engineering
Languages : en
Pages : 254
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Book Description
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.
Author: Becky W. Thompson
Publisher: U of Minnesota Press
ISBN: 9781452902777
Category : Abused women
Languages : en
Pages : 180
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Book Description
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.
Author: Gillian Sze
Publisher: Orca Book Publishers
ISBN: 1459824830
Category : Juvenile Fiction
Languages : en
Pages : 20
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Book Description
★ “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.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
Author: Giancarlo Zaccone
Publisher: Packt Publishing Ltd
ISBN: 1786460122
Category : Computers
Languages : en
Pages : 316
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Book Description
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.
Author: Shlomo Kashani
Publisher:
ISBN: 9781034057253
Category :
Languages : en
Pages :
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Book Description
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.
