grokking deep reinforcement learning miguel morales

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

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

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

skládací skříň s policí Deep Black
skládací skříň z fólie PEVA Deep Black
skříň Wenko Deep Black 150x50x75 cm
svetr Deep Forest Green
bronzující pudr Guerlain Terracotta 05 Deep Warm
L'Oréal Paris odstín 904 Deep Glow
víno z Moravy
vín z moravy
čerstvé víno z Moravy
sekty z Moravy
povlečení s Milesem Morales a Spider-Gwen
lidové duchovní písně Morava
LEGO Marvel Spider-Verse stavebnice Miles Morales
LEGO 76311 Flek vs Miles Morales
kabelka na vyprovázení Morany
svítící figurka Miles Morales

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

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

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

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field''s key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has ... Unknown localization key: "more"

Objev podobné jako Reinforcement Learning - Andrew G. Barto, Richard S. Sutton

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This practical book shows data science and AI professionals how to perform the reinforcement process that allows a machine to learn by itself.

Objev podobné jako Reinforcement Learning - Phil Winder Ph.D.

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

This new book presents today''s most successful cooperative learning methods. The Kagans make it easier than ever to boost engagement and achievement. You''ll still find all the practical and proven Kagan Structures, including Numbered Heads Together, RoundTable, and Three-Step Interview direct from the man who invented cooperative learning structures. And there''s still plenty of ready-to-do teambuilding and classbuilding activities to make your class click. But in this expanded edition, you will find new step-by-step structures, hundreds of helpful management tips, many more teacher-friendly activities and forms, and up-to-date research on proven methods. You hear how schools have used Kagan Cooperative Learning to boost academics, close the achievement gap, improve student relations, and create a more kind and caring school community. After decades of training and working with hundreds of thousands of teachers, Kagan has refined and perfected the most widely used and respected form of cooperative learning ever. The Kagans make it easy for you to dramatically increase engagement and achievement in your class!

Objev podobné jako Kagan Cooperative Learning - Miguel Kagan, Spencer Kagan

Monopoly Morava je strategická společenská hra, která přenáší klasickou herní mechaniku do prostředí moravského regionu. Hráči procházejí historická města, nakupují ikonické památky a obchodují s pozemky. Hra je vhodná pro 2–6 hráčů od 8 let a trvá 60–120 minut.

• Autentická moravská atmosféra s historickými městy a památkami
• Stylové ilustrace a tematické karty pro ponoření do hry
• Vhodné pro rodiny a přátele, věk od 8 let
• Strategická hra s obchodováním pozemků a budováním impéria

Objev podobné jako Monopoly Morava Společenská hra

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

Methods by which robots can learn control laws that enable real-time reactivity using dynamical systems; with applications and exercises.This book presents a wealth of machine learning techniques to make the control of robots more flexible and safe when interacting with humans. It introduces a set of control laws that enable reactivity using dynamical systems, a widely used method for solving motion-planning problems in robotics. These control approaches can replan in milliseconds to adapt to new environmental constraints and offer safe and compliant control of forces in contact. The techniques offer theoretical advantages, including convergence to a goal, non-penetration of obstacles, and passivity. The coverage of learning begins with low-level control parameters and progresses to higher-level competencies composed of combinations of skills. Learning for Adaptive and Reactive Robot Control is designed for graduate-level courses in robotics, with chapters that proceed from fundamentals to more advanced content. Techniques covered include learning from demonstration, optimization, and reinforcement learning, and using dynamical systems in learning control laws, trajectory planning, and methods for compliant and force control . Features for teaching in each chapter: applications, which range from arm manipulators to whole-body control of humanoid robots;pencil-and-paper and programming exercises;lecture videos, slides, and MATLAB code examples ... Unknown localization key: "more"

Objev podobné jako Learning for Adaptive and Reactive Robot Control - Aude Billard, Sina Mirrazavi

"Simplified Machine Learning" is a comprehensive guide that navigates readers through the intricate landscape of Machine Learning, offering a balanced blend of theory, algorithms, and practical applications. The first section introduces foundational concepts such as supervised and unsupervised learning, regression, classification, clustering, and feature engineering, providing a solid base in Machine Learning theory. The second section explores algorithms like decision trees, support vector machines, and neural networks, explaining their functions, strengths, and limitations, with a special focus on deep learning, reinforcement learning, and ensemble methods. The book also covers essential topics like model evaluation, hyperparameter tuning, and model interpretability. The final section transitions from theory to practice, equipping readers with hands-on experience in deploying models, building scalable systems, and understanding ethical considerations.

Objev podobné jako Simplified Machine Learning - Pooja Sharma

Skládací skříň Wenko Deep Black o rozměrech 160 × 50 × 75 cm nabízí úložný prostor s policí a šatní tyčí. Je vyrobena z pevné kovové konstrukce s omyvatelným potahem a umožňuje snadnou montáž bez nářadí. Po složení šetří místo, což ji činí vhodnou pro menší byty nebo dočasné využití.

• Snadná montáž bez nářadí a možnost složení pro úsporu místa.
• Stabilní kovová konstrukce s omyvatelným potahem PEVA chránícím před prachem.
• Univerzální využití díky šatní tyči a horní polici v elegantním černém designu.

Objev podobné jako Wenko Skládací skříň z folie PEVA s policí Deep Black, 160 x 50 x 75 cm

Bezdrátový zvonek Solight se snadno instaluje do zásuvky s dosahem signálu až 180 metrů. Nabízí 36 melodií, 4 úrovně hlasitosti a světelnou LED signalizaci. Funkce Learning code umožňuje spárování více zařízení a tlačítko je vodotěsné s ochranou IP44.

• Snadná instalace bez vrtání – přijímač do zásuvky, tlačítko na dveře nebo zeď.
• Výběr z 36 melodií a 4 úrovní hlasitosti (25–90 dB) s velkým osvětleným LED rámečkem.
• Funkce Learning code umožňuje spárování až 8 tlačítek k jednomu zvonku nebo 15 zvonků k jednomu tlačítku.
• Vodotěsné tlačítko (IP44) s krytem na jmenovku a dosahem až 180 m na otevřeném prostranství.

Objev podobné jako Solight bezdrátový zvonek, do zásuvky, 180m, černý, learning code 1L76B

It''s time to dispel the myth that machine learning is difficult. Grokking Machine Learning teaches you how to apply ML to your projects using only standard Python code and high school-level math. No specialist knowledge is required to tackle the hands-on exercises using readily available machine learning tools! In Grokking Machine Learning, expert machine learning engineer Luis Serrano introduces the most valuable ML techniques and teaches you how to make them work for you. Practical examples illustrate each new concept to ensure you’re grokking as you go. You’ll build models for spam detection, language analysis, and image recognition as you lock in each carefully-selected skill. Packed with easy-to-follow Python-based exercises and mini-projects, this book sets you on the path to becoming a machine learning expert. Key Features · Different types of machine learning, including supervised and unsupervised learning · Algorithms for simplifying, classifying, and splitting data · Machine learning packages and tools · Hands-on exercises with fully-explained Python code samples For readers with intermediate programming knowledge in Python or a similar language. About the technology Machine learning is a collection of mathematically-based techniques and algorithms that enable computers to identify patterns and generate predictions from data. This revolutionary data analysis ... Unknown localization key: "more"

Objev podobné jako Grokking Machine Learning - Luis Serrano

Distributed across servers, difficult to test, and resistant to modification—modern software is complex. Grokking Simplicity is a friendly, practical guide that will change the way you approach software design and development. It introduces a unique approach to functional programming that explains why certain features of software are prone to complexity, and teaches you the functional techniques you can use to simplify these systems so that they’re easier to test and debug. Available in PDF (ePub, kindle, and liveBook formats coming soon). about the technologyEven experienced developers struggle with software systems that sprawl across distributed servers and APIs, are filled with redundant code, and are difficult to reliably test and modify. Adopting ways of thinking derived from functional programming can help you design and refactor your codebase in ways that reduce complexity, rather than encouraging it. Grokking Simplicity lays out how to use functional programming in a professional environment to write a codebase that’s easier to test and reuse, has fewer bugs, and is better at handling the asynchronous nature of distributed systems. about the bookIn Grokking Simplicity, you’ll learn techniques and, more importantly, a mindset that will help you tackle common problems that arise when software gets complex. Veteran functional ... Unknown localization key: "more"

Objev podobné jako Grokking Simplicity - Eric Normand

A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you''ll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky algorithms questions in every programming job interview and help you apply them in your day-to-day work. And if you want to understand them without slogging through dense multipage proofs, this is the book for you. In Grokking Algorithms, Second Edition you will discover: Search, sort, and graph algorithms Data structures such as arrays, lists, hash tables, trees, and graphs NP complete and greedy algorithms Performance trade-offs between algorithms Exercises and code samples in every chapter Over 400 illustrations with detailed walkthroughs The first edition of Grokking Algorithms proved to over 100,000 readers that learning algorithms doesn''t have to be complicated or boring! This new edition now includes fresh coverage of trees, NP complete problems, and code updates to Python 3. With easy-to-read, friendly explanations, clever examples, and exercises to sharpen your skills as you learn, you’ll actually enjoy learning these important algorithms.

Objev podobné jako Grokking Algorithms - Aditya Bhargava

AI is primed to revolutionize the way we build applications, offering exciting new ways to solve problems, uncover insights, innovate new products, and provide better user experiences. Successful AI is based on a set of core algorithms that form a base of knowledge shared by all data scientists. Grokking Artificial Intelligence Algorithms is a fully-illustrated and interactive tutorial guide to the different approaches and algorithms that underpin AI. Written in simple language and with lots of visual references and hands-on examples, readers learn the concepts, terminology, and theory they need to effectively incorporate AI algorithms into their applications. Grokking Artificial Intelligence Algorithms uses simple language, jargon-busting explanations, and hand-drawn diagrams to open up complex algorithms. Don’t worry if you aren’t a calculus wunderkind; you’ll need only the algebra you picked up in math class. • Use cases for different AI algorithms • How to encode problems and solutions using data structures • Intelligent search for game playing • Ant colony algorithms for path finding • Evolutionary algorithms for optimization problems For software developers with high school-level algebra and calculus skills.

Objev podobné jako Grokking Artificial Intelligence Algorithms - Rishal Hurbans

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

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

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

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

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

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

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

Bodové svítidlo Rabalux Miguel E14 2x40W dub/černá – industriální elegance ve vašem interiéruBodové svítidlo Rabalux Miguel nabízí stylové a funkční osvětlení v industriálním designu, který vynikne v moderních i tradičních interiérech. Spojení přírodního dubového dřeva, matné černé kovové konstrukce a textilních stínidel vytváří atraktivní kontrast, který dodá každému prostoru osobitý charakter. Toto dvoužárovkové svítidlo je ideální volbou pro obývací pokoje, jídelny či ložnice, kde požadujete nejen dostatek světla, ale i skvělý vizuální dojem.Klíčové vlastnosti svítidla Miguel Industriální styl: Moderní kombinace dubového dřeva a matné černé barvy. Flexibilní osvětlení: Dva samostatné zdroje (E14, max. 2×40 W) umožňují nasměrování světla podle potřeby. Textilní cylindrická stínidla: Otevřená spodní část stínidel pro příjemné, atmosférické rozptýlení světla. Nástěnná montáž: Stabilní upevnění pomocí kulaté kovové základny (průměr 80 mm). Snadné ovládání: Kolébkový spínač na spodní straně základny. Kvalitní materiály: Kombinace kovu, dřeva a textilu pro dlouhou životnost i estetickou hodnotu.Technické parametry Počet světelných zdrojů: 2 (žárovky nejsou součástí balení) Patice: E14 Příkon: max. 2×40 W (celkem 80 W) Napětí: 230 V, 50 Hz Rozměry: šířka 340 mm, vzdálenost od stěny 220 mm, základna průměr 80 mm Materiál: kov / dřevo / textil Barva: dub / černá Stupeň krytí: IP20 (vhodné do interiérů) Hmotnost: 627 gDoporučení interiérového ... Unknown localization key: "more"

Objev podobné jako Rabalux bodové svítidlo Miguel E14 2x MAX 40W dub 3245

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

​Lovingly crafted photo book of San Miguel, a UNESCO World Heritage Site consistently voted one of the most beautiful cities in the world. From the authors of Villages of West Africa: An Intimate Journey across Time comes this stunning coffee-table book, a photographic journey through the history, culture and day-to-day beauty of life in San Miguel de Allende. This magnificently preserved 480-year-old Spanish Colonial city, designated a UNESCO World Heritage site in 2008, is considered by many to be one of the most picturesque towns in the world. Sitting at an elevation of 6,400 feet on a vast plateau in the Sierra Madre mountains, San Miguel is enveloped by luminous skies, richly colored walls, lush gardens, bustling markets, joyous festivals, an extraordinary array of galleries, exquisite shops and performances by world-renowned musicians and dance troupes that color the life in San Miguel. Long time residents, architects Cathi and Steven House, have lovingly captured the beauty of San Miguel’s 17th century architecture, its people, festivals and charming cobblestone streets, shared in more than 700 masterful images and accompanying text to present the heart and soul of this impressive city. San Miguel de Allende: The Soul of Mexico is perfect for travelers, ... Unknown localization key: "more"

Objev podobné jako San Miguel de Allende - Cathi House, Steven House

Bodové svítidlo Rabalux Miguel E14 3x40W dub – industriální styl s přírodním akcentemBodové svítidlo Rabalux Miguel představuje ideální spojení moderního industriálního designu s teplou přírodní estetikou díky kombinaci matně černé barvy a detailů z dubového dřeva. Svítidlo je navrženo pro tři žárovky E14 s maximálním příkonem každé 40 W, což umožňuje vytvořit optimální osvětlení i pro větší obytné prostory.Charakteristika a design Styl: Industriální, moderní s přírodními prvky Barevné provedení: Dub / černá Materiály: Kov, dřevo, textil Rozměry: Šířka 380 mm, výška 220 mm, základna Ø 100 mm Stupeň krytí: IP20 – vhodné pro interiér Montáž: Na zeď či strop pomocí kulatého dekoračního podstavceTři pohyblivé hlavy svítidla jsou spojeny s dekorativní základnou pomocí elegantních černých ramen ve tvaru úponků, což dodává lampě dynamický a originální vzhled. Textilní cylindrická stínidla v černé barvě zajišťují příjemně tlumené, atmosférické světlo – ideální pro obývací pokoj, jídelnu i ložnici.Technické parametry Patice: E14 Počet světelných zdrojů: 3 (žárovky nejsou součástí balení) Příkon světelného zdroje: max. 40 W / žárovka (celkem max. 120 W) Napětí: 230 V, 50 Hz Hmotnost: 864 gDoporučení interiérového designéraRabalux Miguel doporučuji do moderních i tradičních interiérů, kde se snoubí přírodní akcenty se současným stylem. Skvěle vynikne nad jídelním stolem, v obývacím pokoji ... Unknown localization key: "more"

Objev podobné jako Rabalux bodové svítidlo Miguel E14 3x MAX 40W dub 3246

Miguel Rio Branco unites more than four decades of work across several major cities into one astonishing poetic statement on urban life. Eschewing city landmarks or aspirational ideals, Rio Branco turns his lens to common threads of struggle in metropolises around the globe. Maldicidade is a collection in which all urban dwellers will find something of themselves, or something they long to escape.In Maldicidade, the city never sleeps. By dawn or dusk, in New York, Havana, Salvador da Bahia, or Tokyo, it is an environment fraught with yearning, aching with solitude, and fretful with fortunes never made. This searing urban portrait from visual artist Miguel Rio Branco draws upon his itinerant early years as the son of diplomats to reveal the common threads of struggle and loneliness in metropolises around the world.The images are impeccably captured, but the pictures are not always pretty. Rio Branco is not interested in documenting historic city landmarks, an impressive skyline, or the aspirational dreams that soar up towards it. Instead, he focuses his camera on the city’s refuse and margins—on that which it has thrown away and on those it has cast aside and disappointed. In stark frames or soft impressions, it is street ... Unknown localization key: "more"

Objev podobné jako Miguel Rio Branco: Maldicidade - Miguel Rio Branco, Paulo Herkenhoff

This handsome boxed set by bestselling author don Miguel Ruiz offers three of his most widely acclaimed works:THE FOUR AGREEMENTS: A Practical Guide to Personal Freedom Don Miguel Ruiz reveals the source of self-limiting beliefs that rob us of joy and create needless suffering. Based on ancient Toltec wisdom, The Four Agreements offer a powerful code of conduct that can rapidly transform our lives to a new experience of freedom, true happiness, and love.THE MASTERY OF LOVE: A Practical Guide to the Art of Relationship Don Miguel Ruiz illuminates the fear-based beliefs and assumptions that undermine love and lead to suffering and drama in our relationships. Using insightful stories to bring his message to life, Ruiz shows us how to heal our emotional wounds, recover the freedom and joy that are our birthright, and restore the spirit of playfulness that is vital to loving relationships.THE VOICE OF KNOWLEDGE: A Practical Guide to Inner Peace Don Miguel Ruiz reminds us of a profound and simple truth: The only way to end our emotional suffering and restore our joy in living is to stop believing in lies — mainly about ourselves. Based on ancient Toltec wisdom, this breakthrough book shows us how ... Unknown localization key: "more"

Objev podobné jako The Four Agreements Toltec Wisdom Collection - Janet Millsová, Don Miguel, Jr. Ruiz

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

Simple ingredients + 1 pan = stress-free meals. Minimum fuss, maximum flavour, and all for £1 per person.Over 90 mouthwatering recipes by the bestselling One Pound Chef.With his budget-friendly style, Miguel has created mouthwatering meals made with yet more of his clever cooking cheats and hacks. In Super Easy One Pound Meals you''ll find tasty stews, curries and chillies, but Miguel has taken this concept one step further with traditionally more complicated recipes, such as a lasagne, a roast dinner and a sweet potato pie. The majority of the recipes are made from start to finish in just one pan, (a few recipes need a second pan to boil rice, potatoes or pasta). All the recipes are super simple and perfect for a speedy lunch or a flavour-packed dinner. If you have a small kitchen, can''t be bothered with washing up or just want hassle-free meals, this is the book for you.Miguel Barclay''s new recipe book, GREEN ONE POUND MEALS, is available for pre-order now!

Objev podobné jako Miguel Barclay's Super Easy One Pound Meals - Miguel Barclay

Audiokniha: Anglická Don Miguel Ruiz, autor bestsellerů Čtyři dohody a Pátá dohoda, nám v této audioknize připomíná jednu hlubokou a prostou pravdu: Chceme-li skoncovat s emočním utrpením a obnovit svou radost ze života, musíme přestat věřit lžím, většinou o sobě samých. Tato průkopnická audiokniha, založená na staré toltécké moudrosti, nám ukazuje, jak obnovit víru v pravdu a vrátit se ke zdravému rozumu. Ruiz mění způsob, jakým vnímáme sami sebe i druhé lidi. Pak nám otvírá dveře do reality, kterou jsme vnímali jako dvouleté děti – do reality pravdy, lásky a radosti. Don Miguel Ruiz (1952) Narodil se na mexickém venkově v rodině léčitelů a byl vychován svou matkou curanderou (léčitelkou) a dědečkem naguálem (šamanem). I přes očekávání své rodiny, že bude pokračovat v této léčitelské tradici, se rozhodl vystudovat klasickou medicínu a stát se chirurgem. Jeho život však dramaticky změnila autonehoda, kterou na počátku sedmdesátých let šťastně přežil a po ktreré se začal intenzivně zabývat svým životem a sám sebou. Rozhodl se naplno věnovat rozvíjení staré moudrosti svých předků. Nejprve se učil u své matky a své učení později zakončil u významného šamana v mexické poušti. Podle toltécké tradice vede naguál člověka k osobní svobodě. Don Miguel Ruiz svůj život ... Unknown localization key: "more"

Objev podobné jako Hlas poznání - Toltécká kniha moudrosti - Don Miguel Ruiz - audiokniha

In The Four Agreements, bestselling author don Miguel Ruiz reveals the source of self-limiting beliefs that rob us of joy and create needless suffering. Based on ancient Toltec wisdom, The Four Agreements offer a powerful code of conduct that can rapidly transform our lives to a new experience of freedom, true happiness, and love. • A New York Times bestseller for over a decade. • Over 8.5 million copies sold in the U.S. • Translated into 46 languages worldwide. "This book by don Miguel Ruiz, simple yet so powerful, has made a tremendous difference in how I think and act in every encounter." — Oprah Winfrey "Don Miguel Ruiz’s book is a roadmap to enlightenment and freedom." — Deepak Chopra, Author, The Seven Spiritual Laws of Success "An inspiring book with many great lessons." — Wayne Dyer, Author, Real Magic "In the tradition of Castaneda, Ruiz distills essential Toltec wisdom, expressing with clarity and impeccability what it means for men and women to live as peaceful warriors in the modern world." — Dan Millman, Author, Way of the Peaceful Warrior

Objev podobné jako The Four Agreements - Don Miguel Ruiz

THE INTERNATIONAL BESTSELLER & WINNER OF THE FOOTBALL BOOK OF THE YEAR AWARDA TIMES SPORTS BOOK OF THE YEARA TELEGRAPH BOOK OF THE YEARAN IRISH TIMES BOOK OF THE YEARAN IRISH INDEPENDENT BOOK OF THE YEAR''Important, perfectly timed and hugely necessary.'' The Guardian''A monumental piece of investigative journalism.'' Irish Times''A must-read on how modern football works.'' Ian Wright''Brave, forensic and utterly gripping.'' Tom Holland______________________________The definitive account of how capitalism and the world''s elite corrupted modern football. Fully updated to cover Saudi Arabia''s 2034 World Cup bid, the Manchester City charges case and PSG winning the Champions League.As the 2022 World Cup in Qatar drew to a close, there was a bitter undercurrent to Argentina''s triumph. Throughout the tournament, numerous allegations of sportswashing and financial misconduct had been made against the state of Qatar, moving what had previously been a smaller conversation into the worldwide spotlight.The question had been asked, who really owns and runs football?Journeying from Abu Dhabi to Newcastle, and onto London, Paris, Moscow and New York, journalist Miguel Delaney investigates the allegations of sportswashing and misconduct in the beautiful game. The result is a gripping account of how football has been taken over by the world''s wealthiest businessmen, ... Unknown localization key: "more"

Objev podobné jako States of Play - Miguel Delaney

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

Delicious Food For Less.Minimum fuss, maximum flavour, fully vegan and all for £1 per person.Miguel Barclay''s One Pound Meals, became the bestselling debut cookbook of 2017. Vegan One Pound Meals, his fourth book in the series focusses on vegan recipes, with Miguel showing just how accessible it can be to eat vegan meals on a budget, with each recipe costing just £1 per portion. You might think that it''s expensive to change your diet to a vegan one, but Miguel will show you that it''s entirely do-able on a tiny budget. Once again, through his ingenious recipes, he will bring delicious food to your table without the expense. There''s over 85 recipes to choose from, including: * Sweet Potato Katsu Curry* Golden Syrup Broccoli Noodles * Mac & No Cheese * Sticky Aubergine Bao* Black Bean Meatballs* Vegan Sausage Rolls* Mexican Stuffed Peppers* Oothappam Indian CrumpetsMiguel Barclay''s new recipe book, GREEN ONE POUND MEALS, is available for pre-order now!

Objev podobné jako Vegan One Pound Meals - Miguel Barclay

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

Miguel Barclay''s new recipe book, GREEN ONE POUND MEALS, is available for pre-order now!Over 80 super-simple and tasty recipes that will save you both time and money. Here is delicious food for less.So much more than cheap dinner ideas - here are meals that cost under £1 but look and taste a million dollars! Recipes for the whole family without breaking the bank, including lots of favourite and familiar storecupboard ingredients. Instagram chef sensation Miguel Barclay is taking the world by storm with his delicious meals that cost less than £1 per person. ''I''ve always loved cooking but I''m not a fan of needlessly over-complicated recipes that waste time and money. So I''ve created my own style of cooking: simple ingredients, straightforward recipes and mouthwatering meals, all on a budget. Now you can eat the food you love - from meatball marinara to chicken katsu curry, lamb moussaka to aubergine dal - all for under £1 per person.'' Miguel''s easy-to-follow, ready-in-minutes recipes are for a single serving, and can all be cooked for under £1 per person - just multiply them up for more servings. ''As you would expect from such a relaxed style of cooking, the book is laid ... Unknown localization key: "more"

Objev podobné jako One Pound Meals - Miguel Barclay

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

Maximize employee performance with this updated edition of the classic bestsellerIn Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, renowned thought leader and internationally recognized workplace expert Aubrey Daniels takes a look at today’s rapidly changing work environment, providing a timely update to his seminal book on performance management.As one of the foremost speakers and writers in the human performance field, for nearly 40 years Daniels has worked with organizations to apply scientifically-based behavioral tools and principles to effectively address workplace issues—particularly as they relate to management, leadership, culture, innovation, safety, engagement, and collaboration.Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, presents Daniels’ proven strategies that have been successfully adopted by hundreds of organizations worldwide—ranging from start-ups to Fortune 100 companies—and delivers step-by-step instruction and positive practices to help you implement and sustain positive change.With a behavioral foundation and new chapters on employee engagement and the impact of the exponential increase in technology, this latest edition features all new examples, updated approaches to effective recognition and rewards systems, tips for stimulating and fostering innovation and creativity, and productive ways to embrace and empower the multi-generational workforce, ... Unknown localization key: "more"

Objev podobné jako Bringing Out the Best in People: How to Apply the Astonishing Power of Positive Reinforcement, Third Edition - Aubrey Daniels

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

STŮL MIGUEL V BARVĚ OŘECH Zamyslete se nad tím, jak krásně zapadne do vašeho prostoru stůl v barvě ořech. Stolová deska vyrobená z přírodní MDF a dýhy dodává eleganci, zatímco dřevěné nohy ořechové barvy vytváří ucelený celek. Představte si chvíle strávené u tohoto stolu – příjemná setkání, chutná jídla a atmosféru tepla a stylu. Není to jen stůl, je to skutečná dekorace interiéru. ELEGANCE A STYL Stůl je ztělesněním elegance a stylu. Přírodní dýha poskytuje nejen estetický zážitek, ale také praktickou odolnost. Tato kombinace materiálů zajišťuje, že stůl bude nejen krásný, ale také dlouhodobě funkční. Dřevěné nohy v barvě ořechu dodávají stolu stabilitu a harmonicky ladí s deskou. ATMOSFÉRA TEPLA A HARMONIE Představte si, jak stůl oživí váš interiér. U tohoto stolu můžete zažívat příjemné chvíle s rodinou a přáteli, vychutnávat si vynikající pokrmy a užívat si atmosféru tepla a harmonie. Stůl není jen praktický kus nábytku, ale také centrum, kolem kterého se budou odehrávat vaše nejcennější okamžiky. ZDŮRAZNĚTE SVŮJ VYTŘÍBENÝ VKUS S tímto stolem můžete snadno zdůraznit svůj vytříbený vkus a vytvořit kolem sebe místo plné harmonie a šarmu. Stůl MIGUEL je více než jen nábytek – je to výpověď o vašem stylu a smyslu pro detail. Přesvědčte se, ... Unknown localization key: "more"

Objev podobné jako Jídelní stůl MIGUEL Halmar

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)

V legendární knize Čtyři dohody don Miguel Ruiz ovlivnil život pěti milionů čtenářů svými čtyřmi principy transformace života. Nyní do rukou s srdcí svých čtenářů vkládá své nejoblíbenější modlitby a meditace. Don Miguel začíná každou svou lekci modlitbou nebo řízenou meditací, aby probudil a inspiroval lidskou mysl k přijetí vysvětlovaných duchovních principů. Čtenáři mohou tuto knížku jednoduše použít jako zdroj inspirace, kdykoli budou potřebovat v životě povzbuzení. Modlitby zahrnují všechna důležitá témata jako moudrost, uzdravení, odvaha, láska, láska k sobě samému, odpuštění, osobnostní celistvost, svoboda, štěstí a pravda.

Objev podobné jako Čtyři dohody – modlitby - Don Miguel Ruiz, Janet Millsová

Autor světového bestselleru Čtyři dohody a uznávaný duchovní učitel Don Miguel Ruiz zve své čtenáře na dobrodružnou cestu sebereflexe, zkoumání vlastního nitra. Klíčovou roli v tomto procesu hrají tři otázky: Kdo jsem? Co je skutečné? Co je láska? Jejich prostřednictvím postupně odkrývá nejrůznější klamy a sebeklamy, jimž jako jednotlivci i jako lidstvo podléháme a jež jsou permanentním (a podle všeho zbytečným) zdrojem naší duševní i tělesné nepohody či dokonce až utrpení. Vykročme společně s Donem Miguelem Ruizem a putujme s ním po krajině naší mysli: nezapomínejme však, že on nám jen ukazuje směr. Strůjcem naší duchovní transformace jsme jen my sami!

Objev podobné jako Tři otázky - Don Miguel Ruiz, Barbara Emrys