generative deep learning david foster

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch

Objev podobné jako Generative Deep Learning - David Foster

Both Flesh and Not combines David Foster Wallace''s best-loved essays with work never before published in the UK.Beloved for his brilliantly discerning eye, his verbal elasticity and his uniquely generous imagination, David Foster Wallace was heralded by critics and fans as the voice of a generation. Collected in Both Flesh and Not are fifteen essays published for the first time in book form, including writing never published before in the UK.From ''Federer Both Flesh and Not'', considered by many to be his nonfiction masterpiece; to ''The (As it Were) Seminal Importance of Terminator 2,'' which deftly dissects James Cameron''s blockbuster; to ''Fictional Futures and the Conspicuously Young'', an examination of television''s effect on a new generation of writers, David Foster Wallace''s writing swoops from erudite literary discussion to open-hearted engagement with the most familiar of our twentieth-century cultural references.A celebration of Wallace''s great loves - for language, for precision, for meaning - and a feast of enjoyment for his fans, Both Flesh and Not is a fitting tribute to this writer who was never concerned with anything less important than what it means to be alive.Praise for Both Flesh and Not: ''Whether dwelling on the real-world implications of metaphysics [or ... Unknown localization key: "more"

Objev podobné jako Both Flesh And Not - David Foster Wallace

In this rare peak into the personal life of the author of numerous bestselling novels, gain an understanding of David Foster Wallace and how he became the man that he was.Only once did David Foster Wallace give a public talk on his views on life, during a commencement address given in 2005 at Kenyon College. The speech is reprinted for the first time in book form in This is Water. How does one keep from going through their comfortable, prosperous adult life unconsciously? How do we get ourselves out of the foreground of our thoughts and achieve compassion? The speech captures Wallace''s electric intellect as well as his grace in attention to others. After his death, it became a treasured piece of writing reprinted in The Wall Street Journal and the London Times, commented on endlessly in blogs, and emailed from friend to friend.Writing with his one-of-a-kind blend of causal humor, exacting intellect, and practical philosophy, David Foster Wallace probes the challenges of daily living and offers advice that renews us with every reading.

Objev podobné jako This Is Water - David Foster Wallace

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Engage the World Change the World Deep Learning has claimed the attention of educators and policymakers around the world. This book not only defines what deep learning is, but takes up the question of how to mobilize complex, whole-system change and transform learning for all students. Deep Learning is a global partnership that works to: transform the role of teachers to that of activators who design experiences that build global competencies using real-life problem solving; and supports schools, districts, and systems to shift practice and how to measure learning in authentic ways. This comprehensive strategy incorporates practical tools and processes to engage students, educators, and families in new partnerships and drive deep learning. Inside you’ll find: The Deep Learning Framework Vignettes and case studies from K-12 classrooms in 1,200 schools in seven countries Guidance for reaching disadvantaged and differently abled students Sample protocols and rubrics for assessment Videos demonstrating deep learning design and innovative leadership in practice Through learning partnerships, learning environments, new pedagogical practices, and leveraged digital skills, deep learning reaches students as never before — preparing them to be active, engaged participants in their future.

Objev podobné jako Deep Learning - Joanne Quinn, Michael Fullan, Joanne J. McEachen

Humans do a great job of reading text, identifying key ideas, summarizing, making connections, and other tasks that require comprehension and context. Recent advances in deep learning make it possible for computer systems to achieve similar results. Deep Learning for Natural Language Processing teaches you to apply deep learning methods to natural language processing (NLP) to interpret and use text effectively. In this insightful book, (NLP) expert Stephan Raaijmakers distills his extensive knowledge of the latest state-of-the-art developments in this rapidly emerging field. Key features An overview of NLP and deep learning • Models for textual similarity • Deep memory-based NLP • Semantic role labeling • Sequential NLP Audience For those with intermediate Python skills and general knowledge of NLP. No hands-on experience with Keras or deep learning toolkits is required. About the technology Natural language processing is the science of teaching computers to interpret and process human language. Recently, NLP technology has leapfrogged to exciting new levels with the application of deep learning, a form of neural network-based machine learning Stephan Raaijmakers is a senior scientist at TNO and holds a PhD in machine learning and text analytics. He’s the technical coordinator of two large European Union-funded research security-related ... Unknown localization key: "more"

Objev podobné jako Deep Learning for Natural Language Processing - Stephan Raaijmakers

Svůj poslední soubor povídek Zapomnění psal David Foster Wallace paralelně s již nedokončeným románem Bledý král. Kniha vyšla roku 2004. Témata osobní identity a možností porozumění i sebeporozumění se ve Wallaceových textech prolínají s nejsoučasnějšími technikami ovlivňování a vnější prezentace a kladou - nevyslovenou, snad i nevyslovitelnou? - otázku, na co jsme vlastně zapomněli. David Foster Wallace (1962-2008) patřil k nejoriginálnějším anglicky píšícím autorům přelomu tisíciletí. Proslul především románem Nekonečný žert z roku 1996. Prvním českým překladem byly Krátké rozhovory s odpornými muži, které Rubato vydalo v roce 2018.

Objev podobné jako Zapomnění - David Foster Wallace

Do lobsters feel pain? Did Franz Kafka have a sick sense of humour? What is John Updike's deal anyway? And who won the Adult Video News' Female Performer of the Year Award the same year Gwyneth Paltrow won her Oscar? David Foster Wallace answers these questions and more in his new book of hilarious non-fiction. For this collection, David Foster Wallace immerses himself in the three-ring circus that is the presidential race in order to document one of the most vicious campaigns in recent history. Later he strolls from booth to booth at a lobster festival in Maine and risks life and limb to get to the bottom of the lobster question.Then he wheedles his way into an L.A. radio studio, armed with tubs of chicken, to get the behind-the-scenes view of a conservative talkshow featuring a host with an unnatural penchant for clothing that only looks good on the radio. In what is sure to be a much-talked-about exploration of distinctly modern subjects, one of the sharpest minds of our time delves into some of life's most delicious topics.

Objev podobné jako Consider The Lobster - David Foster Wallace

The Pale King is David Foster Wallace's final novel - a testament to his enduring brilliance The Internal Revenue Service Regional Examination Centre in Peoria, Illinois, 1985. Here the minutaie of a million daily lives are totted up, audited and accounted for. Here the workers fight a never-ending war against the urgency of their own boredom. Here then, squeezed between the trivial and the quotidian, lies all human life. And this is David Foster Wallace's towering, brilliant, hilarious and deeply moving final novel.

Objev podobné jako The Pale King - David Foster Wallace

If you''ve been curious about artificial intelligence and machine learning but didn''t know where to start, this is the book you''ve been waiting for. Focusing on the subfield of machine learning known as deep learning, it explains core concepts and gives you the foundation you need to start building your own models. Rather than simply outlining recipes for using existing toolkits, Practical Deep Learning, 2nd Edition teaches you the why of deep learning and will inspire you to explore further. All you need is basic familiarity with computer programming and high school math - the book will cover the rest. After an introduction to Python, you''ll move through key topics like how to build a good training dataset, work with the scikit-learn and Keras libraries, and evaluate your models'' performance. You''ll also learn: How to use classic machine learning models like k-Nearest Neighbours, Random Forests, and Support Vector Machines, How neural networks work and how they''re trained, How to use convolutional neural networks, How to develop a successful deep learning model from scratch. You''ll conduct experiments along the way, building to a final case study that incorporates everything you''ve learned. This second edition is thoroughly revised and updated, and adds ... Unknown localization key: "more"

Objev podobné jako Practical Deep Learning, 2nd Edition - Ronald T. Kneusel

Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required. Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You''ll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field. We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. • Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for ... Unknown localization key: "more"

Objev podobné jako Grokking Deep Reinforcement Learning - Miguel Morales

Every other day we hear about new ways to put deep learning to good use: improved medical imaging, accurate credit card fraud detection, long range weather forecasting, and more. PyTorch puts these superpowers in your hands, providing a comfortable Python experience that gets you started quickly and then grows with you as you, and your deep learning skills, become more sophisticated. Deep Learning with PyTorch teaches you how to implement deep learning algorithms with Python and PyTorch. This book takes you into a fascinating case study: building an algorithm capable of detecting malignant lung tumors using CT scans. As the authors guide you through this real example, you''ll discover just how effective and fun PyTorch can be. Key features • Using the PyTorch tensor API • Understanding automatic differentiation in PyTorch • Training deep neural networks • Monitoring training and visualizing results • Interoperability with NumPy Audience Written for developers with some knowledge of Python as well as basic linear algebra skills. Some understanding of deep learning will be helpful, however no experience with PyTorch or other deep learning frameworks is required. About the technology PyTorch is a machine learning framework with a strong focus on deep neural networks. Because ... Unknown localization key: "more"

Objev podobné jako Deep Learning with PyTorch - Eli Stevens, Luca Antiga

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 ... Unknown localization key: "more"

Objev podobné jako Learning Deep Learning - Magnus Ekman

''One of the most dazzling luminaries of contemporary American fiction'' Sunday Times ''The most commanding and exciting and inventive rhetorical virtuosity of any writer alive... [He] nailed it like nobody else ever had'' Jonathan Franzen''[He was] first among us. The most talented, most daring, most energetic and original, the funniest... This man got inside the world''s mind and changed it for the better'' George Saunders''Radical, impassioned, heart-and brain-stretching... His talent was so obviously great it confused people'' Zadie SmithDiscover one of the most celebrated writers of our age - the visionary author of Infinite Jest andA Supposedly Fun Thing I Will Never Do AgainFrom genre-defining reportage to genre-breaking fiction, David Foster Wallace captured the human experience as no-one else has - in all its multiplicity, sorrow and tenderness, wit and irony and deep, dazzling truth.Penguin presents the very best of his collected fiction and nonfiction, including extracts from his most famous novels, short stories and iconic essays such as ''Consider the Lobster''. Alongside these classic pieces is exclusive, previously unpublished work, and critical contributions from twelve prominent authors and thinkers, all commissioned specifically for this collection.

Objev podobné jako The David Foster Wallace Reader - David Foster Wallace

In his startling and singular new short story collection, David Foster Wallace nudges at the boundaries of fiction with inimitable wit and seductive intelligence. Among the stories are ''The Depressed Person'', a dazzling and blackly humorous portrayal of a woman''s mental state; ''Adult World'', which reveals a woman''s agonised consideration of her confusing sexual relationship with her husband; and ''Brief Interviews with Hideous Men'', a dark, hilarious series of portraits of men whose fear of women renders them grotesque. Wallace''s stories present a world where the bizarre and the banal are interwoven and where hideous men appear in many different guises. Thought-provoking and playful, this collection confirms David Foster Wallace as one of the most imaginative young writers around. Wallace delights in leftfield observation, mining the ironic, the surprising and the illuminating from every situation. His new collection will delight his growing number of fans, and provide a perfect introduction for new readers.

Objev podobné jako Brief Interviews With Hideous Men - David Foster Wallace

''A visionary, a craftsman, a comedian... he''s in a different time-space continuum from the rest of us. Goddam him'' Zadie Smith, Guardian''David Foster Wallace turns the short story upside down and inside out, making the adjectives ''''inventive'''', ''''unique'''' and ''''original'''' seem blasé'' T. Coraghessan Boyle''Truly funny surreal humour'' San Francisco ChronicleGirl With Curious Hair is replete with the prodigious talent of David Foster Wallace and his remarkable and unsettling re-imaginations of reality. From an eerily ''real'', almost holographic evocation of Lyndon B. Johnson, to over-televised game-show hosts and late-night comedians, to the title story, where terminal punk nihilism meets Young Republicanism, Wallace renders the incredible comprehensible, the bizarre normal, the absurd hilarious, the familiar strange.

Objev podobné jako Girl With Curious Hair - David Foster Wallace

Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Key features • Structuring problems as Markov Decision Processes • Popular algorithms such Deep Q-Networks, Policy Gradient method and Evolutionary Algorithms and the intuitions that drive them • Applying reinforcement learning algorithms to real-world problems Audience You’ll need intermediate Python skills and a basic understanding of deep learning. About the technology Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior from their own raw sensory input. The system perceives the environment, interprets the results of its past decisions, and uses this information to optimize its behavior for maximum long-term return. Deep reinforcement learning famously contributed to the success of AlphaGo but that’s not all it can do! Alexander Zai is a Machine Learning Engineer at Amazon AI working on ... Unknown localization key: "more"

Objev podobné jako Deep Reinforcement Learning in Action - Alexander Zai, Brandon Brown

The Geographies of David Foster Wallace''s Novels takes a fresh look at David Foster WallaceÂ’s novels through the lens of historical geography. It explores the connections between WallaceÂ’s literary practice and the reshaping of American geographical space that resulted from the transition between Fordist and post-Fordist forms of capitalism, presenting critical readings of the novels together with analysis of manuscripts and notebooks from WallaceÂ’s archive. Deploying an innovative methodology that combines aspects of cultural geography and literary criticism, each novel is historically situated through a spatial keyword, expanding our understanding of the connections between social context and formal innovation in WallaceÂ’s work.

Objev podobné jako The Geographies of David Foster Wallace's Novels - Laurie McRae Andrew

The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with training and experience for their academic studies, and prepared them for careers in deep learning, machine learning, and artificial intelligence in top companies in industry and academia. The book begins by covering the foundations of deep learning, followed by key deep learning architectures. Subsequent parts on generative models and reinforcement learning may be used as part of a deep learning course or as part of a course on each topic. The book includes state-of-the-art topics such as Transformers, graph neural networks, variational autoencoders, and deep reinforcement learning, with a broad range of applications. The appendices provide equations for computing gradients in backpropagation and optimization, and best practices in scientific writing and reviewing. The text presents an up-to-date guide to the field built upon clear visualizations using a unified notation and equations, lowering the barrier to entry for the reader. The accompanying website provides complementary code and hundreds of exercises with solutions.

Objev podobné jako The Science of Deep Learning - Iddo Drori

The mathematical paradigms that underlie deep learning typically start out as hard-to-read academic papers, often leaving engineers in the dark about how their models actually function. Math and Architectures of Deep Learning bridges the gap between theory and practice, laying out the math of deep learning side by side with practical implementations in Python and PyTorch. Written by deep learning expert Krishnendu Chaudhury, you''ll peer inside the “black box” to understand how your code is working, and learn to comprehend cutting-edge research you can turn into practical applications. about the technology It''s important to understand how your deep learning models work, both so that you can maintain them efficiently and explain them to other stakeholders. Learning mathematical foundations and neural network architecture can be challenging, but the payoff is big. You''ll be free from blind reliance on pre-packaged DL models and able to build, customize, and re-architect for your specific needs. And when things go wrong, you''ll be glad you can quickly identify and fix problems. about the book Math and Architectures of Deep Learning sets out the foundations of DL in a way that''s both useful and accessible to working practitioners. Each chapter explores a new fundamental DL concept ... Unknown localization key: "more"

Objev podobné jako Math and Architectures of Deep Learning - Krishnendu Chaudhury

Deep reinforcement learning has attracted considerable attention recently. Impressive results have been achieved in such diverse fields as autonomous driving, game playing, molecular recombination, and robotics. In all these fields, computer programs have taught themselves to understand problems that were previously considered to be very difficult. In the game of Go, the program AlphaGo has even learned to outmatch three of the world''s leading players.Deep reinforcement learning takes its inspiration from the fields of biology and psychology. Biology has inspired the creation of artificial neural networks and deep learning, while psychology studies how animals and humans learn, and how subjects'' desired behavior can be reinforced with positive and negative stimuli. When we see how reinforcement learning teaches a simulated robot to walk, we are reminded of how children learn, through playful exploration. Techniques that are inspired by biology and psychology work amazingly well in computers: animal behavior and the structure of the brain as new blueprints for science and engineering. In fact, computers truly seem to possess aspects of human behavior; as such, this field goes to the heart of the dream of artificial intelligence. These research advances have not gone unnoticed by educators. Many universities have begun offering courses ... Unknown localization key: "more"

Objev podobné jako Deep Reinforcement Learning - Aske Plaat

An authoritative, accessible, and up-to-date treatment of deep learning that strikes a pragmatic middle ground between theory and practice.Deep learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.Up-to-date treatment of deep learning covers cutting-edge topics not found in existing texts, such as transformers and diffusion modelsShort, focused chapters progress in complexity, easing students into difficult concepts Pragmatic approach straddling theory and practice gives readers the level of detail required to implement naive versions of modelsStreamlined presentation separates critical ideas from background context and extraneous detailMinimal mathematical prerequisites, extensive illustrations, and practice problems make challenging ... Unknown localization key: "more"

Objev podobné jako Understanding Deep Learning - Simon J.D. Prince

Artificial Intelligence is the most exciting technology of the century, and Deep Learning is, quite literally, the “brain” behind the world’s smartest Artificial Intelligence systems out there. Grokking Deep Learning is the perfect place to begin the deep learning journey. Rather than just learning the “black box” API of some library or framework, readers will actually understand how to build these algorithms completely from scratch. Key Features:Build neural networks that can see and understand images Build an A.I. that will learn to defeat you in a classic Atari gameHands-on Learning Written for readers with high school-level math and intermediateprogramming skills. Experience with Calculus is helpful but notrequired. ABOUT THE TECHNOLOGY Deep Learning is a subset of Machine Learning, which is a field dedicated to the study and development of machines that can learn, often with the goal of eventually attaining general artificial intelligence.

Objev podobné jako Grokking Deep Learning - Andrew W Trask

Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Objev podobné jako Deep Learning Crash Course - Benjamin Midtvedt, Jesus Pineda, Giovanni Volpe

Computer vision-based crack-like object detection has many useful applications, such as inspecting/monitoring pavement surface, underground pipeline, bridge cracks, railway tracks etc. However, in most contexts, cracks appear as thin, irregular long-narrow objects, and often are buried in complex, textured background with high diversity which make the crack detection very challenging. During the past a few years, deep learning technique has achieved great success and has been utilized for solving a variety of object detection problems.This book discusses crack-like object detection problem comprehensively. It starts by discussing traditional image processing approaches for solving this problem, and then introduces deep learning-based methods. It provides a detailed review of object detection problems and focuses on the most challenging problem, crack-like object detection, to dig deep into the deep learning method. It includes examples of real-world problems, which are easy to understand and could be a good tutorial for introducing computer vision and machine learning.

Objev podobné jako Deep Learning for Crack-Like Object Detection - Heng-Da Cheng, Kaige Zhang

Kniha - autor David Foster Wallace, 138 stran, anglicky, pevná bez přebalu lesklá A classic work from the late author of "Infinite Jest", this collects his 5 essays on tennis. Once a 'near-great junior tennis player' himself, he profiles Roger Federer and Tracy Austin and writes about tennis with the authority of an insider.

Objev podobné jako String Theory: David Foster Wallace on Tennis. A Library of America Special Publication (1598534807)

V Krátkých rozhovorech s odpornými muži (1999) podává David Foster Wallace zprávu o lidských bytostech zasažených úzkostí, nejistotou a osamoceností. Formálně rozmanitý soubor povídek je jakousi verbální anatomií vztahu mezi pohlavími, výpravou do světa myslí a těl "prozacového národa". Titulní cyklus, který prorůstá celou knihou, má podobu přepisu rozhovorů s 18 muži, jejichž promluvy jsou formovány nepřítomností tázající osoby. Strach mužů z ženských soudů tu ústí v egománii, mizogynii a objektivizaci svého protějšku. Wallacovy prozaické útvary jsou obydleny personalizovanými postoji, s nimiž by se málokdo chtěl identifikovat, které se ale mnohým budou zdát až znepokojivě povědomé. Mluví tu přízraky, nebo skutečné osoby v nás?

Objev podobné jako Krátké rozhovory s odpornými muži - David Foster Wallace

Gathered for the first time in a deluxe collector's edition, here are David Foster Wallace's legendary writings on tennis, five tour-de-force pieces written with a competitor's insight and a fan's obsessive enthusiasm. Wallace brings his dazzling literary magic to the game he loved as he celebrates the other-worldly genius of Roger Federer; offers a wickedly witty disection of Tracy Austin's memoir; considers the artistry of Michael Joyce, a supremely disciplined athlete on the threshold of fame; resists the crush of commerce at the U.S. Open; and recalls his own career as a "near-great" junior player.Whiting Award-winning writer John Jeremiah Sullivan provides an introduction.

Objev podobné jako String Theory - David Foster Wallace

This celebrated collection of essays from the author of Infinite Jest is "brilliantly entertaining...Consider the Lobster proves once more why Wallace should be regarded as this generation's best comic writer" (Cleveland Plain Dealer). Do lobsters feel pain? Did Franz Kafka have a funny bone? What is John Updike's deal, anyway? And what happens when adult video starlets meet their fans in person? David Foster Wallace answers these questions and more in essays that are also enthralling narrative adventures. Whether covering the three-ring circus of John McCain's 2000 presidential race, plunging into the wars between dictionary writers, or confronting the World's Largest Lobster Cooker at the annual Maine Lobster Festival, Wallace projects a quality of thought that is uniquely his and a voice as powerful and distinct as any in American letters."Wallace can do sad, funny, silly, heartbreaking, and absurd with equal ease; he can even do them all at once." --Michiko Kakutani, New York Times

Objev podobné jako Consider the Lobster - David Foster Wallace

This book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.

Objev podobné jako System Design for Epidemics Using Machine Learning and Deep Learning

This book investigates in detail the emerging deep learning (DL) technique in computational physics, assessing its promising potential to substitute conventional numerical solvers for calculating the fields in real-time. After good training, the proposed architecture can resolve both the forward computing and the inverse retrieve problems.Pursuing a holistic perspective, the book includes the following areas. The first chapter discusses the basic DL frameworks. Then, the steady heat conduction problem is solved by the classical U-net in Chapter 2, involving both the passive and active cases. Afterwards, the sophisticated heat flux on a curved surface is reconstructed by the presented Conv-LSTM, exhibiting high accuracy and efficiency. Additionally, a physics-informed DL structure along with a nonlinear mapping module are employed to obtain the space/temperature/time-related thermal conductivity via the transient temperature in Chapter 4. Finally, in Chapter 5, a series of the latest advanced frameworks and the corresponding physics applications are introduced.As deep learning techniques are experiencing vigorous development in computational physics, more people desire related reading materials. This book is intended for graduate students, professional practitioners, and researchers who are interested in DL for computational physics.

Objev podobné jako Deep Learning-Based Forward Modeling and Inversion Techniques for Computational Physics Problems - Qiang Ren, Yinpeng Wang

Understand what metacognition is and how you can apply it to your secondary school teaching to support deep and effective learning in your classroom. Metacognition is a popular topic in teaching and learning debates, but it’s rarely clearly defined and can be difficult for teachers to understand how it can be applied in the classroom. This book offers a clear introduction to applying metacognition in secondary teaching, exploring the ‘what’, ‘when/how’ and ‘why’ of using metacognition in classrooms with real life examples of how this works in practice. This is a detailed and accessible resource that offers guidance that teachers can start applying to their own lesson planning immediately, across secondary subjects. Nathan Burns is the founder of @MetacognitionU and has written metacognitive teaching resources for TES and Oxford University Press. He is Head of Maths in a Derbyshire school. Â

Objev podobné jako Inspiring Deep Learning with Metacognition - Nathan Burns

Deep Learning: A Visual Approach helps demystify the algorithms that enable computers to drive cars, win chess tournaments, and create symphonies, while giving readers the tools necessary to build their own systems to help them find the information hiding within their own data, create ''deep dream'' artwork, or create new stories in the style of their favorite authors.

Objev podobné jako Deep Learning - Andrew Glassner

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.

Objev podobné jako Deep Learning for Cognitive Computing Systems

Originally writing over 600 years ago, Geoffrey Chaucer is today enjoying a global renaissance. Why do poets, translators, and audiences from so many cultures, from the mountains of Iran to the islands of Japan, find Chaucer so inspiring? In part this is down to the character and sheer inventiveness of Chaucer''s work. At the time Chaucer''s writings were not just literary adventures, but also a means of convincing the world that poetry and science, tragedy and astrology, could all be explored through the English language. French was still England''s aristocratic language of choice when Chaucer was born; Latin was used for university education, theological discussion, and for burying the dead. Could a hybrid tongue such as English ever generate great writing to compare with French and Latin? Chaucer, miraculously, believed that it could, through gradual expansion of expressiveness and scientific precision. He was never paid to do this; he was valued, rather, as a capable civil servant, regulating the export of wool and the building of seating for royal tournaments. Such experiences, however, fed his writing, leading him to achieve a range of social registers, from noble tragedy to barnyard farce, unrivalled for centuries. His tale-telling geography is vast, his ... Unknown localization key: "more"

Objev podobné jako Geoffrey Chaucer - David Foster Wallace

This book provides essential knowledge and skills to address all the new social work education requirements for placements and practice learning. It will help you successfully pass your compulsory social work placement whilst meeting the Professional Capabilities Framework (PCF) for Social Workers and developing their professional practice. Giving examples of the PCF plus clear exercises, strategies and tips, the book: -Introduces your students to social work in the context of contemporary reforms. -Takes you through each stage of the new placement structure explaining supervision, reflective practice and critical thinking in social work. -Addresses trouble shooting and problem solving on placement. -Helps you prepare for complex casework with individuals, families, groups and communities; address risk in social work; and engage with diverse groups and communities. By using this book, you′ll be armed with the tools you need to get the most out of your placement. David Edmondson is Senior Lecturer in Social Work at Manchester Metropolitan University

Objev podobné jako Social Work Practice Learning - David Edmondson

Elektronická kniha - autor François Chollet, 328 stran, česky Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok od téměř nepoužitelného rozpoznávání řeči a obrazu k nadlidské přesnosti. Od programů, které nedokázaly porazit jen trochu zkušenějšího hráče go, jsme dospěli k přemožiteli mistra světa. Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning) – kombinace technických vylepšení, osvědčených postupů a teorií, které umožnily vyvinout množství dříve nerealizovatelných inteligentních aplikací. S jejich pomocí pak můžeme například analyzovat text či mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby na sociálních sítích nebo používat samořídící automobily. Tato kniha naučí čtenáře navrhovat hluboce se učící systémy v jazyku Python, který je v současnosti nejpoužívanějším programovacím jazykem pro vývoj těchto systémů, a knihovny Keras a TensorFlow používané většinou vítězů soutěží systémů pro...

Objev podobné jako Deep learning v jazyku Python (978-80-247-3100-1)

Strojové učení zaznamenalo v posledních letech pozoruhodný pokrok a dospělo od téměř nepoužitelného rozpoznávání řeči a obrazu k téměř nadlidské přesnosti, od programů, které nedokázaly porazit jen trochu zkušenějšího hráče šachu, až k přemožitelům mistrů světa.Za pokrokem ve vývoji učících se programů stojí tzv. hluboké učení (deep learning), což je kombinace teorií a osvědčených technických postupů, které umožnily vyvinout řadu dříve nerealizovatelných aplikací. S jejich pomocí můžeme analyzovat a syntetizovat text i mluvené slovo, překládat z jazyka do jazyka, rozpoznávat osoby nebo ovládat samořídící automobily.Kniha naučí čtenáře, jehož znalosti jazyka Python jsou na střední úrovni, navrhovat v tomto jazyku hluboce se učící systémy s pomocí knihoven Keras a TensorFlow, které používá většina autorů vítězných systémů ze soutěží v hlubokém učení. Výklad je založený na intuitivních vysvětleních a praktických příkladech. Náročné koncepty si procvičíte na aplikacích v oblasti počítačového vidění, zpracování přirozeného jazyka a generativních modelů. Získáte tak znalosti a praktické dovednosti, které vám umožní aplikovat hluboké učení ve vlastních projektech.Autorem knihy je François Chollet, tvůrce knihovny Keras a výzkumník v oblasti umělé inteligence společnosti Google. Výklad základních principů hlubokého učení i pokročilých dovedností Tvorba systému hlubokého učení pro počítačové vidění, časové řady, text i generování vlastních výtvorů (například obrázků) Způsob ... Unknown localization key: "more"

Objev podobné jako Deep learning v jazyku Python - 2., rozšířené vydání - François Chollet

If you are going to care for someone, you must first understand them. If you're going to hire, marry, or befriend someone, you have to be able to see them. If you are going to work closely with someone, you have to be able to make them feel recognized and valued.As David Brooks observes, "The older I get, the more I come to the certainty that there is one skill at the center of any healthy family, company, classroom, community or nation: the ability to see each other, to know other people, to make them feel valued, heard and understood."And yet we humans don't do this well. All around us are people who feel invisible, unseen, misunderstood. In How to Know a Person, Brooks sets out to help us to do better, posing questions that are essential for all of us.Driven by his trademark sense of curiosity, Brooks draws from the fields of psychology and neuroscience, and from the worlds of theatre, history, and education, to present a welcoming, hopeful, integrated approach to human connection. How to Know a Person helps readers become more understanding and considerate towards others; it helps readers find the joy that comes from being seen. ... Unknown localization key: "more"

Objev podobné jako How To Know a Person: The Art of Seeing Others Deeply and Being Deeply Seen - David Brooks

This book illustrates complex concepts of full stack deep learning and reinforces them through hands-on exercises to arm you with tools and techniques to scale your project.

Objev podobné jako Deep Learning at Scale - Suneeta Mall

This step-by-step guide teaches you how to build practical deep learning applications for the cloud and mobile using a hands-on approach.

Objev podobné jako Practical Deep Learning for Cloud and Mobile - Anirudh Koul, Siddha Ganju, Meher Kasam

David Beckham Classic je mužská toaletní voda uvedená na trh v roce 2013. Vůni vytvořil parfumér Aurélio Guichard a kombinuje ovocné tóny gin-limetka s kořeněnými a dřevitými akcenty. Produkt je dodáván v elegantním flakonu odpovídajícím image značky.

• Charismatická vůně inspirovaná osobností Davida Beckhama
• Moderní elegantní flakon odpovídající prémiovému image
• Univerzální ovocně-kořeněná kompozice vhodná pro různé příležitosti
• Dlouhodobě oblíbená vůně na trhu od roku 2013

Objev podobné jako David Beckham Classic toaletní voda pro muže 100 ml

Help students move from surface-level learning to the transfer of understanding. How do social studies teachers maximize instruction to ensure students are prepared for an informed civic life? VISIBLE LEARNING® for Social Studies, Grades K-12 shows how the field is more than simply memorizing dates and facts—it encapsulates the skillful ability to conduct investigations, analyze sources, place events in historical context, and synthesize divergent points of view. The Visible Learning framework demonstrates that learning is not an event, but rather a process in which students move from surface-level learning to deep learning, and then onto the transfer of concepts, skills, and strategies. Encouraging learners to explore different facets of society, history, geography, and more, best practices for applying visible learning to social studies curriculum are presented through: ·        A scaffolded approach, including surface-level learning, deep learning, and transfer of learning ·        Examples of strategies, lessons, and activities best suited for each level of learning ·        Planning tools, rubrics, and templates to guide instruction Teachers must understand the impact they have on students and select approaches to maximize that impact. ... Unknown localization key: "more"

Objev podobné jako Visible Learning for Social Studies, Grades K-12 - Julie Stern, John Hattie, Douglas Fisher, Nancy Frey

Stable Diffusion, ChatGPT, Whisper - these are just a few examples of incredible applications powered by developments in machine learning. Despite the ubiquity of machine learning applications running in production, there are only a few viable language choices for data science and machine learning tasks. Elixir''s Nx project seeks to change that. With Nx, you can leverage the power of machine learning in your applications, using the battle-tested Erlang VM in a pragmatic language like Elixir. In this book, you''ll learn how to leverage Elixir and the Nx ecosystem to solve real-world problems in computer vision, natural language processing, and more.The Elixir Nx project aims to make machine learning possible without the need to leave Elixir for solutions in other languages. And even if concepts like linear models and logistic regression are new to you, you''ll be using them and much more to solve real-world problems in no time.Start with the basics of the Nx programming paradigm - how it differs from the Elixir programming style you''re used to and how it enables you to write machine learning algorithms. Use your understanding of this paradigm to implement foundational machine learning algorithms from scratch. Go deeper and discover the power of ... Unknown localization key: "more"

Objev podobné jako Machine Learning in Elixir - Sean Moriarity

Selected as the Michigan Council of Teachers of Mathematics winter book club book! Rich tasks, collaborative work, number talks, problem-based learning, direct instruction…with so many possible approaches, how do we know which ones work the best? In Visible Learning for Mathematics, six acclaimed educators assert it’s not about which one—it’s about when—and show you how to design high-impact instruction so all students demonstrate more than a year’s worth of mathematics learning for a year spent in school. That’s a high bar, but with the amazing K-12 framework here, you choose the right approach at the right time, depending upon where learners are within three phases of learning: surface, deep, and transfer. This results in "visible" learning because the effect is tangible. The framework is forged out of current research in mathematics combined with John Hattie’s synthesis of more than 15 years of education research involving 300 million students. Chapter by chapter, and equipped with video clips, planning tools, rubrics, and templates, you get the inside track on which instructional strategies to use at each phase of the learning cycle: Surface learning phase: When—through carefully constructed experiences—students explore new concepts and make connections to procedural skills and vocabulary that give shape ... Unknown localization key: "more"

Objev podobné jako Visible Learning for Mathematics, Grades K-12 - Douglas Fisher, Nancy Frey, John Hattie, Sara Delano Moore, Linda M. Gojak, William Mellman

Develop a mathematical intuition around machine learning algorithms to improve model performance and effectively troubleshoot complex ML problems. For intermediate machine learning practitioners familiar with linear algebra, probability, and basic calculus. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you will learn the fundamentals of Bayesian inference and deep learning. You will also explore the core data structures and algorithmic paradigms for machine learning. You will explore practical implementations of dozens of ML algorithms, including: Monte Carlo Stock Price Simulation Image Denoising using Mean-Field Variational Inference EM algorithm for Hidden Markov Models Imbalanced Learning, Active Learning and Ensemble Learning Bayesian Optimisation for Hyperparameter Tuning Dirichlet Process K-Means for Clustering Applications Stock Clusters based on Inverse Covariance Estimation Energy Minimisation using Simulated Annealing Image Search based on ResNet Convolutional Neural Network Anomaly Detection in Time-Series using Variational Autoencoders Each algorithm is fully explored with both math and practical implementations so you can see how they work and put into action. About the technology Fully understanding how machine learning algorithms function is essential for any serious ML ... Unknown localization key: "more"

Objev podobné jako Machine Learning Algorithms in Depth - Vadim Smolyakov

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning —also known as data mining or data analytics— is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using RAn expanded chapter focused on discussion of deep learning techniquesA new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learningA new chapter on responsible data scienceUpdates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their studentsA full chapter devoted ... Unknown localization key: "more"

Objev podobné jako Machine Learning for Business Analytics - Peter Gedeck, Galit Shmueli, Peter C. Bruce, Nitin R. Patel, Inbal Yahav

Hudební CD s posmrtným albem Davida Stypky z roku 2021. Album obsahuje 11 skladeb včetně písní Dýchej, Farmářům a O lítání. Jedná se o fyzické vydání na kompaktním disku.

• Posmrtné album z roku 2021 od Davida Stypky
• Obsahuje 11 skladeb včetně hitů Dýchej a Farmářům
• Fyzické CD pro sběratele a fanoušky
• Kvalitní zvukové provedení na CD nosiči

Objev podobné jako Stypka David: Dýchej - CD (3858425)

David Beckham Instinct je parfémovaná voda pro muže uvedená na trh v roce 2005. Vůně kombinuje svěží citrusové tóny bergamotu s teplými kořeněnými akcenty kardamomu a zemitým podkladem pačuli. Produkt je dodáván v 50ml elegantním flakonu.

• Svěží fougère vůně s citrusovými tóny
• Elegantní flakon s ikonickým designem
• Dlouhotrvající pocit energie a sebevědomí
• Vhodná pro každodenní nošení

Objev podobné jako David Beckham Instinct parfémovaná voda pro muže 50 ml

An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty.An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning.Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributionsExplores how to use probabilistic models and inference for causal inference and decision makingFeatures online Python code accompanimentÂ

Objev podobné jako Probabilistic Machine Learning - Kevin P. Murphy

Many machine learning problems are too complex to be resolved by a single model or algorithm. Ensemble machine learning trains a group of diverse machine learning models to work together to solve a problem. By aggregating their output, these ensemble models can flexibly deliver rich and accurate results. Ensemble Methods for Machine Learning is a guide to ensemble methods with proven records in data science competitions and real world applications. Learning from hands-on case studies, you''ll develop an under-the-hood understanding of foundational ensemble learning algorithms to deliver accurate, performant models. About the Technology Ensemble machine learning lets you make robust predictions without needing the huge datasets and processing power demanded by deep learning. It sets multiple models to work on solving a problem, combining their results for better performance than a single model working alone. This "wisdom of crowds" approach distils information from several models into a set of highly accurate results.

Objev podobné jako Ensemble Methods for Machine Learning - Gautam Kunapuli