math and architectures of deep learning krishnendu chaudhury

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

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

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

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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

A collection of on the field of distance education. It includes chapters on distance education issues such as connectivism and social software innovations.

Objev podobné jako The Theory and Practice of Online Learning, Second Edition

Your blueprint for empowering students through personalized learning In today’s technologically-integrated world, blended learning is a natural fit for the elementary classroom, where many teachers already think flexibly about the learning environment, resources, and time in order to meet diverse student needs. As blended elementary classrooms become more common, teachers and administrators must develop a shared understanding of the characteristics of effective instruction in blended environments. This guide is designed to help K-5 teachers develop and carry out a plan for effective instruction in blended environments. Presented in a step-by-step workbook format, this resource identifies the competencies blended teachers need and strategies for development, culminating in a personalized implementation plan for successful blended instruction. Readers will Take an in-depth look at the iNACOL Blended Learning Teacher Competency Framework, to foster a deeper understanding of the teacher proficiencies needed for effective blended learning environments. Identify your own strengths and needs related to the blended teacher competencies. Develop a personalized blueprint for designing and facilitating blended learning in your classrooms. Tailor your needs and goals when it comes to maximizing instructional time, personalizing learning, empowering students, pursuing professional learning, and more. Explore specific strategies and examples of blended learning in elementary classrooms, ... Unknown localization key: "more"

Objev podobné jako The Blended Learning Blueprint for Elementary Teachers - Jayme Linton

The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field.It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models.This is a core resource for students and instructors of machine learning and data science looking for beginner-friendly material which offers real-world applications and takes ethical discussions into account.

Objev podobné jako Practical Machine Learning - Ally S. Nyamawe, Salim A. Diwani, Noe E. Nnko, Mohamedi M. Mjahidi, Kulwa Malyango, Godbless G. Minja

This book brings together a wide range of studies, practical applications and reflective accounts written by academics working at a university in Japan to present a cohesive overview of their collaborative efforts to promote learner reflection within their institution. The book contributes to a shift in language education towards promoting learner responsibility and ownership of their learning through developing a deeper sense of awareness of and motivation for the learning process. It makes a convincing case for showing that not only is promoting reflection possible, but it can also be effectively integrated into language learning activities with significant benefits to the learners. The chapters are highly practical for researchers and practitioners, with the research chapters containing instruments which make them ideal for replication studies. The text includes a wealth of practical tools and activities for practitioners, who will be able to experience first-hand how to facilitate student success and increase satisfaction.

Objev podobné jako Promoting Reflection on Language Learning

Travelling from the edge of our Solar System, through the Milky Way and to the outer edges of the observable universe, Deep Space is a spectacular photographic guide to galaxies, nebulae, supernova, clusters, black holes, and quasars. Learn about the birth of stars in our own galaxy, planets beyond our own solar system, when they were first discovered and how we have managed to photograph these places. Ranging from the Magellanic Clouds within the Milky Way to stellar life cycles, from other spiral galaxies such as the Andromeda Galaxy, to the Sombrero Galaxy, and from nebulae such as the Pillars of Creation to black and white dwarfs, this is accessibly written for the general reader to grasp the science and magnitude of deep space. Featuring 200 outstanding color photographs and expert captions, Deep Space is most certainly out of this world.

Objev podobné jako Deep Space - Robert Harvey

_______________ The 50 Fantastic Ideas series is packed full of fun, original, skills-based activities for Early Years practitioners to use with children aged 0-5. Each activity features step-by-step guidance, a list of resources, and a detailed explanation of the skills children will learn. Creative, simple, and highly effective, this series is a must-have for every Early Years setting. _______________ Bikes, trikes and scooters are an ever-popular resource in Early Years settings and this book reveals a treasure trove of fun and accessible ideas to enhance this play.The ideas in this book will develop a child''s confidence, curiosity and connection with the world through activities. Beyond just riding bikes, trikes and scooters, this book includes activities such as scooter tag, painting with wheels, the bike repair shop, wheel weaving and the floor is lava. 50 Fantastic Ideas for Bikes, Trikes and Scooters is designed to be inclusive of all children and abilities, and the ideas are linked to the key areas of learning in the EYFS statutory framework and Characteristics of Effective Learning, and including new vocabulary, mathematical skills, literacy, mark-making and gross and fine motor skills. This book will show practitioners how to make exploring every aspect of bikes, trikes ... Unknown localization key: "more"

Objev podobné jako 50 Fantastic Ideas for Bikes, Trikes and Scooters - James Davolls

Learn how to use the large-scale natural language processing model developed by OpenAI: ChatGPT. This book explains how ChatGPT uses machine learning to autonomously generate text based on user input and explores the significant implications for human communication and interaction. Author Eric Sarrion examines various aspects of ChatGPT, including its internal workings, use in computer projects, and impact on employment and society. He also addresses long-term perspectives for ChatGPT, including possible future advancements, adoption challenges, and considerations for ethical and responsible use. The book starts with an introduction to ChatGPT covering its versions, application areas, how it works with neural networks, NLP, and its advantages and limitations. Next, you'll be introduced to applications and training development projects using ChatGPT, as well as best practices for it. You'll then explore the ethical implications of ChatGPT, such as potentialbiases and risks, regulations, and standards. This is followed by a discussion of future prospects for ChatGPT. The book concludes with practical use case examples, such as text content creation, software programming, and innovation and creativity. This essential book summarizes what may be one of the most significant developments in artificial intelligence in recent history and provides useful insights for researchers, policymakers, and anyone ... Unknown localization key: "more"

Objev podobné jako Exploring the Power of ChatGPT - Eric Sarrion

''The best up-to-date, go-to book on the social and economic implications of artificial intelligence - Tyler Cowen''Rule of the Robots explores the future implications of artificial intelligence as a uniquely scalable and potentially disruptive technology.In this sequel to his prescient New York Times bestseller Rise of the Robots, Martin Ford presents us with a striking vision of the very near future. He argues that AI is a uniquely powerful technology, a kind of "electricity of intelligence" that is altering every dimension of human life, often for the better with advanced science being done by machines who can solve problems humans can not. AI has the potential to help us fight climate change or the next pandemic, but it also has a capacity for profound harm. Deep fakes-AI-generated audio or video of events that never happened-are poised to cause havoc throughout society. AI empowers authoritarian regimes like China with unprecedented mechanisms for social control. And AI can be deeply biased, learning bigoted attitudes from the data used to train algorithms and perpetuating them. Hard-hitting and thought-provoking, covering everything from self-driving cars to the history of deep learning to apps for diagnosing skin cancer, Rule of the Robots challenges our fears and ... Unknown localization key: "more"

Objev podobné jako Rule of the Robots - Martin Ford

In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-discovery of strategies, usage of memory, balance of exploration and exploitation, and its exceptional flexibility. Exciting in its own right, DRL may presage even more remarkable advances in general artificial intelligence. Deep Reinforcement Learning in Python: A Hands-On Introduction is the fastest and most accessible way to get started with DRL. The authors teach through practical hands-on examples presented with their advanced OpenAI Lab framework. While providing a solid theoretical overview, they emphasize building intuition for the theory, rather than a deep mathematical treatment of results. Coverage includes: Components of an RL system, including environment and agents Value-based algorithms: SARSA, Q-learning and extensions, offline learning Policy-based algorithms: REINFORCE and extensions; comparisons with value-based techniques Combined methods: Actor-Critic and extensions; scalability through async methods Agent evaluation Advanced and experimental techniques, and more How to achieve breakthrough machine learning performance by combining deep neural networks with reinforcement learning Reduces the learning curve by relying on the authors’ OpenAI Lab framework: requires less upfront theory, math, and programming expertise Provides ... Unknown localization key: "more"

Objev podobné jako Foundations of Deep Reinforcement Learning - Laura Graesser, Wah Loon Keng

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

Everything students need to know to succeed on the Physics and Math sections of the MCAT exam (Medical College Admission Test)—including 3 full-length practice tests.With in-depth coverage of MCAT® physics and math topics, The Princeton Review MCAT Physics and Math Review helps you practice your way to excellence, featuring everything you need for a high score:Thorough content review of all MCAT® physics and math topics3 full-length online practice tests with detailed answer explanations and score reportsTest-taking strategies geared toward physics and math masteryBulleted summary sheets of physics formulas and constantsFull-color illustrations, diagrams, and tablesEnd-of-chapter drills and explanations, plus MCAT-style passages and questionsExtensive reference glossaryThe Princeton Review MCAT Physics and Math Review covers:KinematicsMechanicsFluids and Elasticity of SolidsElectrostaticsElectrocity and MagneticismOscillations and WavesSoundLight and Geometrical Optics

Objev podobné jako Princeton Review MCAT Physics and Math Review, 5th Edition - Princeton Review

A field-defining work that demonstrates how architects are breaking with professional conventions to advance spatial justice and design more equitable buildings and cities.As state violence, the pandemic, and environmental collapse have exposed systemic inequities, architects and urbanists have been pushed to confront how their actions contribute to racism and climate crisis—and how they can effect change. Establishing an ethics of spatial justice to lead architecture forward, Dana Cuff shows why the discipline requires critical examination—in relation to not only buildings and the capital required to realize them but privilege, power, aesthetics, and sociality. That is, it requires a reevaluation of architecture’s fundamental tenets.Organized around projects and topics, Architectures of Spatial Justice is a compelling blend of theory, history, and applied practice that focuses on two foundational conditions of architecture: its relation to the public and its dependence on capital. The book draws on studies of architectural projects from around the world, with instructive case studies from Chile, Mexico, Japan, and the United States that focus in particular on urban centers, where architecture is most directly engaged with social justice issues.Emerging from more than two decades of the author’s own project-based research, Architectures of Spatial Justice examines ethically driven practices that ... Unknown localization key: "more"

Objev podobné jako Architectures of Spatial Justice - Dana Cuff

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

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

On publication in 2009 John Hattie’s Visible Learning presented the biggest ever collection of research into what actually work in schools to improve children’s learning. Not what was fashionable, not what political and educational vested interests wanted to champion, but what actually produced the best results in terms of improving learning and educational outcomes. It became an instant bestseller and was described by the TES as revealing education’s ‘holy grail’. Now in this latest book, John Hattie has joined forces with cognitive psychologist Greg Yates to build on the original data and legacy of the Visible Learning project, showing how it’s underlying ideas and the cutting edge of cognitive science can form a powerful and complimentary framework for shaping learning in the classroom and beyond.Visible Learning and the Science of How We Learn explains the major principles and strategies of learning, outlining why it can be so hard sometimes, and yet easy on other occasions. Aimed at teachers and students, it is written in an accessible and engaging style and can be read cover to cover, or used on a chapter-by-chapter basis for essay writing or staff development. The book is structured in three parts – ‘learning within classrooms’, ‘learning ... Unknown localization key: "more"

Objev podobné jako Visible Learning and the Science of How We Learn - John Hattie, Gregory C. R. Yates

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

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

Social anthropologist Jean Lave and computer scientist Etienne Wenger’s seminal Situated Learning helped change the fields of cognitive science and pedagogy by approaching learning from a novel angle. Traditionally, theories of learning and education had focused on processes of cognition – the mental processes of knowledge formation that occur within an individual. Lave and Wenger chose to look at learning not as an individual process, but a social one. As so often with the creative thinking process, a small, simple shift in emphasis was all that was required to show things in an entirely different light. What Situated Learning illustrated – and emphasized – was that learning is dependent on its social situation. Even though the most effective way to learn is through interaction with experts and peers in a community organized around a common interest, the traditional cognitive learning model failed to account for the way in which learners interact with their ‘community of practice.’ The new hypothesis that Lave and Wenger developed was that learning can be seen as a continuously evolving set of relationships situated within a social context. This allowed Lave and Wenger to place discussions of apprenticeship and workplace learning on a new footing – ... Unknown localization key: "more"

Objev podobné jako An Analysis of Jean Lave and Etienne Wenger's Situated Learning - Charmi Patel

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

Kaplan’s MCAT Physics and Math Review 2026-2027 offers an expert study plan, detailed subject review, and hundreds of online and in-book practice questions—all authored by the experts behind Kaplan's score-raising MCAT prep course. Prepping for the MCAT is a true challenge. Kaplan can be your partner along the way—offering guidance on where to focus your efforts and how to organize your review. This book has been updated to match the AAMC’s guidelines precisely—no more worrying about whether your MCAT review is comprehensive!The Most Practice More than 350 questions in the book and access to even more online—more practice than any other MCAT physics and math book on the market. The Best Practice Comprehensive physics and math subject review is written by top-rated, award-winning Kaplan instructors. Full-color, 3-D illustrations, charts, graphs and diagrams help turn even the most complex science into easy-to-visualize concepts. All material is vetted by editors with advanced science degrees and by a medical doctor. Online resources, including a full-length practice test, help you practice in the same computer-based format you’ll see on Test Day. Expert Guidance High-yield badges throughout the book identify the topics most frequently tested by the AAMC. We know the test: The Kaplan MCAT ... Unknown localization key: "more"

Objev podobné jako MCAT Physics and Math Review 2026-2027 - Kaplan Test Prep

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

Early language deficits affect too many pupils on entry to nursery, reception and school settings, negatively impacting not only children''s engagement with curriculum content, but also their self-regulation and mental health. Drawing on Joan Tough''s research and inspiration, Alex Bedford has reignited and reimagined her systematic language development framework, so that every child in an early years setting has the opportunity to build a love of language that radiates understanding, excellence, ambition and clarity.Co-authored by Julie Sherrington, EYFS: Language of Learning explains the vital influence that physical development has on vocabulary development. The book offers practical guidance on what language development is, what to look for and how to provide support. Important cognitive and neuroscience research is clearly explained to help school settings embed the best of what we know about how children learn.EYFS: Language of Learning gives teachers and practitioners a holistic, accessible and powerful toolkit. Alex and Julie''s brilliant worked examples showcase how the language development framework can offer precision and progression within the learning conversation. The book directly complements the ShREC approach and provides clear guidance on how to develop conversations using evidence-informed frameworks.

Objev podobné jako EYFS: Language of Learning – a handbook to provoke, provide and evaluate language development - Alex Bedford, Julie Sherrington

Howard/Charlesworth''s MATH AND SCIENCE FOR YOUNG CHILDREN, 9th EDITION, introduces you to engaging math and science experiences for early childhood and early elementary education programs. It provides an organized, sequential approach to creating a developmentally appropriate STEM curriculum. The content aligns with key guidelines and standards, including The National Association for the Education of Young Children''s (NAEYC) Professional Standards and Competencies (2020); Developmentally Appropriate Practice (DAP) guidelines (2021); Common Core Mathematics Standards; and Next Generation Science Standards (NGSS). This edition also addresses STEM/STEAM and the essential domains of child growth and development during the crucial birth-through-eight age range. A valuable resource for the student/future teacher, working professional or involved parent, this edition emphasizes the interrelatedness of STEM content and how the content can be integrated into all other curriculum areas.

Objev podobné jako Math and Science for Young Children - Rebecca Howard, Rosalind Charlesworth

Architectures of Ageing in Place provides curated critical perspectives, from a practice-based research point of view, of buildings that are purpose built and/or refurbished to accommodate housing and care needs of older people aging in place in high rise/medium rise integrated communities.

Objev podobné jako Architectures of Ageing in Place

This revised and updated third edition, previously titled The Effective Teacher''s Guide to Dyslexia and Other Learning Difficulties (Learning Disabilities), unravels the complexity of specific learning difficulties in an accessible and user-friendly way.Each chapter provides key information about the disorder in question, giving a clear definition before discussing prevalence, causal factors, identification, and assessment and provision. Implications for the curriculum and related assessment, pedagogy, resources, therapy/care, and school and classroom organisation are explained, allowing providers to reflect and adapt their practice in response to the needs of the individual. The book informs effective provision, with the aim of encouraging the best achievement and personal and social development for children and young people.The book authoritatively and lucidly addresses issues associated with• impairment in reading/dyslexia,• impairment in written expression/dysgraphia,• impairment in mathematics/dyscalculia, and• developmental co-ordination disorder/dyspraxia.Recognising the importance and the challenge of multi-professional working, the book relates provision to the roles of parents and carers alongside that of the practitioner. Underpinned by research and widely held professional judgement, this will prove a practical, readable, and inspiring resource for professionals in the UK, US, and elsewhere including teachers, therapists, psychologists, and students entering these professions.

Objev podobné jako Supporting Disorders of Learning and Co-ordination - Farrell Michael

A 2-book bundle that adds up to success in basic math and pre-algebra People of all ages — from students in a math class to adults using math in the real world — often dislike ever having to use arithmetic, fractions, decimals, percentages, geometry, and so on. Math is all around us, but it doesn't have to be hard. Basic Math & Pre-Algebra For Dummies and Basic Math & Pre-Algebra Workbook For Dummies with Online Practice is a two-book bundle designed to help you improve your math skills whether you're a student tackling math homework or preparing for a test or an adult who wants to improve their own skills or help someone else learn to love numbers. Basic Math & Pre-Algebra For Dummies provides mathematical and algebraic concepts into easy-to-understand sections. You'll learn to: Master addition, subtraction, multiplication, and divisionWrangle the three E's of math: equations, expressions, and evaluationNever fear a word problem again (even ones with fractions, decimals, and percents)Know your prime numbers from composite numbersGet your mind around factors and multiplesLearn the parts of a fraction and how to add, subtract, multiply, and divide fractionsUnderstand scientific notation and how to use itDiscover the X in algebraAnd so ... Unknown localization key: "more"

Objev podobné jako Basic Math & Pre-Algebra For Dummies Book + Workbook Bundle - Mark Zegarelli

A growth-mindset book that empowers kids to take on any math challenge.A unique math book, Adventures in Math builds students’ social-emotional skills in math by debunking common myths that inhibit learning and confidence. Rather than teaching readers how to master math concepts, it urges them to change their mindset about math altogether. Using stories and practical tips, it encourages readers to be curious when faced with math problems, to accept that there will be setbacks in solving them and to recognize the creativity at the root of doing math. And, just as important, it helps readers understand math’s relevance in their own lives through fascinating stories about real people who have used math to do amazing things. Author Carleigh Wu is a math coach who wants to help middle schoolers rethink their attitudes about math and their ability to do it well. Guided by research-based, high-impact teaching practices, she speaks directly to readers, providing them with information to build their resilience and confidence. By instilling a growth mindset, Wu shows readers that with practice and effort, they can get better at math. She even includes a writing challenge at the end of every chapter to help readers reflect on and ... Unknown localization key: "more"

Objev podobné jako Adventures in Math - Carleigh Wu

Tomlinson/Boose''s CURREN''S MATH FOR MEDS: DOSAGES AND SOLUTIONS, 12e, covers basic math concepts and systems of measurement for dosage calculation. Careful attention to practices encouraging safety in medication preparation, calculation and administration are outlined. Three common methods of dosage calculation are introduced. Examples encourage students to do practice problems using the method they are most comfortable with. Basic to advanced pediatric and intravenous (IV) calculations are addressed. Photos of drug labels, syringes, hundreds of examples, practice problems and summary test questions provide opportunities to practice interpreting labels of medications commonly seen in clinical practice. Examples guide students with information for safe, accurate dosage calculations. Clinical relevance summaries help connect information in the chapter to the clinical setting.

Objev podobné jako Curren's Math for Meds: Dosages and Solutions - Gladdi Tomlinson, Lou Ann Boose

Early Literacy + Early Numeracy = Academic SuccessWhen it comes to math, educators can feel the same tension they see in their students—from uncertainty and anxiety to a lack of confidence in their own skills. This mindset creates barriers in teaching and learning and perpetuates disparities in achievement. Readers Read. Writers Write. Mathers Math!: Bridging the Gap Between Literacy and Mathematics introduces a groundbreaking framework to support educators in transforming their own math identities and creating classrooms that redefine the concept of literacy to include numeracy, so that every student feels capable, confident, and excited about math.Author Deborah Peart Crayton challenges the notion that math is optional; instead she empowers educators to build a positive relationship with math while helping their students do the same. Grounded in the belief that math, like literacy, is essential for navigating the world, this book offers strategies and tips to reshape math instruction and create a supportive environment where every student thrives.Through storytelling, practical tools, actionable plans, and "mathfirmations," this book Redefines mathematics as a vital part of life Applies literacy teaching strategies to math instruction to inspire math engagement outside of the traditional block Integrates math into reading, writing, and other subjects for ... Unknown localization key: "more"

Objev podobné jako Readers Read. Writers Write. Mathers Math! - Deborah Peart Crayton

Statistics: The Art and Science of Learning From Data, 5th Edition helps you understand what statistics is all about and learn the right questions to ask when analyzing data, instead of just memorizing procedures. It makes accessible the ideas that have turned statistics into a central science of modern life, without compromising essential material. Students often find this book enjoyable to read and stay engaged with the wide variety of real-world data in the examples and exercises. Based on the authors'' belief that it''s important for you to learn and analyze both quantitative and categorial data, this text pays greater attention to the analysis of proportions than many other introductory statistics texts. Key features include: Greater attention to the analysis of proportions compared to other introductory statistics texts. Introduction to key concepts, presenting the categorical data first, and quantitative data after. A wide variety of real-world data in the examples and exercises New sections and updated content will enhance your learning and understanding. Pearson MyLab® Students, if Pearson Pearson MyLab Statistics is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. Pearson MyLab Statistics should only be purchased when required by an instructor. Instructors, contact ... Unknown localization key: "more"

Objev podobné jako Statistics: The Art and Science of Learning from Data, Global Edition - Alan Agresti, Christine Franklin, Bernhard Klingenberg

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

This book offers a lively exploration of the mathematics, physics, and neuroscience that underlie music. Written for musicians and music lovers with any level of science and math proficiency, including none, Music, Math, and Mind demystifies how music works while testifying to its beauty and wonder.

Objev podobné jako Music, Math, and Mind - Professor David Sulzer

Math really is for everyone—so let’s prove it.You’ve heard it from kids, from friends, and from celebrities: "I’m bad at math." It’s a line that society tends to accept without examination—after all, some people just aren’t "math people," right?Wrong. As we do with other essential skills, we need to expose the stereotypes, challenge the negative mindsets, and finally confront the systemic opportunity gaps in math education, and replace them with a new vision for what math is, who it’s for, and who can excel at it. In this book you’ll find Research on teacher and student mindsets and their effect on student achievement Audience-specific and differentiated tools, reflection questions, and suggested actions for educators at all levels of the system Examples from popular media, as well as personal stories and anecdotes Quotes, data-driven figures, and suggestions for deeper learning on all aspects of a positive and equitable vision of math educationBoth social commentary and a toolkit of solutions, this bold new book directly challenges the constructs that have historically dictated our perceptions of what makes someone a "math person". Only by dismantling those misplaced assumptions can we reform math education so it works for everyone. Because in truth, we are ... Unknown localization key: "more"

Objev podobné jako Bad at Math? - Lidia Gonzalez

For every child who loves Minecraft, this new volume of Math for Minecrafters emphasizes math fact fluency and makes learning feel more like a game than schoolwork! NOT OFFICIAL MINECRAFT PRODUCT. NOT APPROVED BY OR ASSOCIATED WITH MOJANG. This kid-friendly workbook features well-loved minecrafting characters and concepts to reinforce the development of third and fourth grade math skills laid out in the national Common Core State Standards. Colorfully-illustrated puzzles and high-interest word problems help to build fundamental multiplying and dividing skills using beloved items from the Overworld like golden pickaxes, hostile mobs, crafting formulas, and heroes like Alex and Steve. This workbook is designed to build math fact fluency and encourage math practice in even the most reluctant of students. The curriculum-based content covered here includes lessons in: Multiplication and division practice pages with colorful artWord problems that bring math and Minecrafting to lifeMath facts pages for timed or untimed practiceCode-breaking funFundamental math skills practice with skip counting, grouping, and more! Skip to the pages that suit your child’s needs and learning style or start at the beginning and advance page by page—it’s up to you! As the workbook progresses, the problems become more challenging so that learners of all ... Unknown localization key: "more"

Objev podobné jako Math for Minecrafters: Adventures in Multiplication & Division (Volume 2)

This fascinating volume investigates how the concept of soul is connected to BDSM and kink, exploring the world of alternative sexualities through the psychology of C. G. Jung and James Hillman as readers are guided on a provocative and lively journey through darker aspects of the sexual imagination. Contextualized both in sexual history and contemporary events, the book unveils surprising points of correspondence between the tortured fantasy-images of JungÂ’s The Red Book and the modern world of BDSM and describes from HillmanÂ’s psychology a soul-centered perspective that affirms the psychological value of fantasy-images animating our human lives. The book also considers the collective archetypal sources of historical trauma which have provided inspiration to some of the more disquieting aspects of BDSM and details how the deep psychology of BDSM creates a space in the modern world to ethically engage these practices. Kinksters and BDSM practitioners will discover a psychological language that clarifies and affirms why these activities and relationships can be so intensely intimate, pleasurable, and transformative.Psychotherapists and enthusiasts of Jungian and archetypal psychology will find fresh insights here that support the practice of BDSM as a form of individuation and a path for bringing soul into the world.

Objev podobné jako The Deep Psychology of BDSM and Kink - Douglas Thomas

Make math learning both meaningful and fun by building on children’s natural curiosity to help them grow into confident problem solvers and investigators of math concepts. Using five math-related questions children wonder about as a framework, this book helps you go deeper into everyday math with children by offering:A basic overview of math ideas behind matching and sorting, patterns, number sense, measuring, and spatial relationships20 activities appropriate for children in preschool and kindergarten based on new and classic children’s books, games, and classroom routinesSuggestions for individualizing activities for diverse learnersRecommendations for more than 75 children’s books that encourage math-rich thinking and investigationExamples of intentional questions, comments, and conversations that stretch and focus children’s understanding of math concepts Empower yourself with the guidance and ideas in this practical resource to use play and storytelling to challenge children to think more complexly about the math in everything they see, hear, and do.

Objev podobné jako Where's the Math? - Laura Grandau, Mary Hynes-Berry

Adding It Up explores how students in pre-K through 8th grade learn mathematics and recommends how teaching, curricula, and teacher education should change to improve mathematics learning during these critical years. The committee identifies five interdependent components of mathematical proficiency and describes how students develop this proficiency. With examples and illustrations, the book presents a portrait of mathematics learning:Research findings on what children know about numbers by the time they arrive in pre-K and the implications for mathematics instruction. Details on the processes by which students acquire mathematical proficiency with whole numbers, rational numbers, and integers, as well as beginning algebra, geometry, measurement, and probability and statistics. The committee discusses what is known from research about teaching for mathematics proficiency, focusing on the interactions between teachers and students around educational materials and how teachers develop proficiency in teaching mathematics.

Objev podobné jako Adding It Up - National Research Council, Division of Behavioral and Social Sciences and Education, Center for Education, Mathematics Learning Study C

Doing Math with Python shows you how to use Python to delve into high school level math topics like statistics, geometry, probability, and calculus. You ll start with simple projects, like a factoring program and a quadratic-equation solver, and then create more complex projects once you ve gotten the hang of things. Along the way, you ll discover new ways to explore math and gain valuable programming skills that you ll use throughout your study of math and computer science. Learn how to: Describe your data with statistics, and visualize it with line graphs, bar charts, and scatter plots Explore set theory and probability with programs for coin flips, dicing, and other games of chance Solve algebra problems using Python s symbolic math functions Draw geometric shapes and explore fractals like the Barnsley fern, the Sierpinski triangle, and the Mandelbrot set Write programs to find derivatives and integrate functions Creative coding challenges and applied examples help you see how you can put your new math and coding skills into practice. You ll write an inequality solver, plot gravity s effect on how far a bullet will travel, shuffle a deck of cards, estimate the area of a circle by throwing ... Unknown localization key: "more"

Objev podobné jako Doing Math with Python - Amit Saha

An engaging math workbook to help your 6th grade student master the skills necessary to perform better in class and on standardized testsColorful, dynamic, and filled with engaging activities, McGraw Hill Math Grade 6, Third Edition provides maximum educational value, giving your sixth grader a student-friendly learning experience to learn and practice the skills they need to do well in school and on standardized tests.Based on the curriculum standards followed by states across the U.S., McGraw Hill Math Grade 6 covers key topics with easy-to-follow instructions, helpful examples, and more than 1,000 practice problems with answers. End-of-chapter tests allow your child to see where mastery has been gained and what they need to focus on. As they master each concept, your child will sharpen their problem-solving skills and build the confidence they need to succeed in sixth grade math.Features include:New: Multi-step problems and word problems.A state-by-state guide shows you how to focus your child’s lessonsThe guide shows which states have adopted Common Core State Standards, how each state has implemented the standards for math, and outlines the standards for non-Common Core states1,000+ math problems with explanations for answersA 10-Week Summer Study Plan shows you how to create the best study ... Unknown localization key: "more"

Objev podobné jako McGraw Hill Math Grade 6, Third Edition - McGraw Hill

Learning and Behavior reviews how people and animals learn and how their behaviors are changed because of learning. It describes the most important principles, theories, controversies, and experiments that pertain to learning and behavior that are applicable to diverse species and different learning situations. Both classic studies and recent trends and developments are explored, providing a comprehensive survey of the field. Although the behavioral approach is emphasized, many cognitive theories are covered as well, along with a chapter on comparative cognition. Real-world examples and analogies make the concepts and theories more concrete and relevant to students. In addition, most chapters provide examples of how the principles covered have been employed in applied and clinical behavior analysis. The text proceeds from the simple to the complex. The initial chapters introduce the behavioral, cognitive, and neurophysiological approaches to learning. Later chapters give extensive coverage of classical conditioning and operant conditioning, beginning with basic concepts and findings and moving to theoretical questions and current issues. Other chapters examine the topics of reinforcement schedules, avoidance and punishment, stimulus control and concept learning, observational learning and motor skills, comparative cognition, and choice. Thoroughly updated, each chapter features many new studies and references that reflect recent ... Unknown localization key: "more"

Objev podobné jako Learning and Behavior - Amy L. Odum, James E. Mazur

Empower your students as they reimagine the world around them through mathematics Culturally relevant mathematics teaching engages students by helping them learn and understand math more deeply, and make connections to themselves, their communities, and the world around them. The mathematics task provides opportunities for a direct pathway to this goal. But many teachers ask, how can you find, adapt, and implement math tasks that build powerful learners? Engaging in Culturally Relevant Math Tasks helps teachers to design and refine inspiring mathematics learning experiences driven by the kind of high-quality and culturally relevant mathematics tasks that connect students to their world. With the goal of inspiring all students to see themselves as doers of mathematics, this book provides intensive, in-the-moment guidance and practical classroom tools that empower educators to shape culturally relevant experiences while systematically building tasks that are standards-based. It includes A pathway for moving through the process of asking, imagining, planning, creating, and improving culturally relevant math tasks. Tools and strategies for designing culturally relevant math tasks that preservice, novice, and veteran teachers can use to grow their practice day by day. Research-based teaching practices seen through the lens of culturally relevant instruction that help students develop deep ... Unknown localization key: "more"

Objev podobné jako Engaging in Culturally Relevant Math Tasks, 6-12 - Lou E Matthews, Yolanda A. Parker, Shelly M. Jones