deep reinforcement learning aske plaat

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

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

skládací skříň s policí Deep Black
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skříň Wenko Deep Black 150x50x75 cm
svetr Deep Forest Green
bronzující pudr Guerlain Terracotta 05 Deep Warm
L'Oréal Paris odstín 904 Deep Glow
svěží středně plná květnatá vůně
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Clementoni Play For Future puzzle
Play-Doh samostatná tuba 112g fialová

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

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

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

Help your child learn to identify colours with this engaging early-learning play set from bestselling author Roger Priddy.Little ones will enjoy matching the puzzle pieces with the colours on the pages, while also learning core vocabulary and developing fine motor skills. The plastic pocket makes it easy to pack-up and put back on the bookshelf at the end of the day.Sturdy play pieces and a board book in which to put them makes learning exciting and fun. This set teaches the key first concept of colours in a playful way and helps develop early problem-solving and other skills. And the press-out puzzle pieces are easy for small hands to hold.First Learning Colours play set makes a wonderful addition to any baby or toddler''s library.

Objev podobné jako First Learning Play Set: Colours - Roger Priddy, Priddy Books

The First Learning Animals Play Set includes a board book, featuring bright photography, and 12 chunky pieces neatly packed in a plastic pocket.Help your child learn about farm animals, pets and animals from the wild with this engaging, early-learning play set. Little ones will enjoy finding and matching the puzzle pieces with the animals on the pages of the book, while also learning core vocabulary and developing fine motor skills. The book is full of recognizable photographic images of animals and big word labels. The chunky play pieces slot neatly into the spaces on the pages and can also be used as first word flash cards. The plastic pocket makes it easy to pack-up and put back on the bookshelf at the end of the day.Also available: Colours, First Words, and Numbers.

Objev podobné jako First Learning Play Set: Animals - Roger Priddy, Priddy Books

The First Learning Numbers Play Set includes a board book, featuring bright photography, and 12 chunky pieces neatly packed in a plastic pocket.

Objev podobné jako First Learning Play Set: Numbers - Roger Priddy, Priddy Books

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

Old Spice Deep Sea, Pánské tělové sady pro muže, Udělejte radost kosmetickým setem Old Spice Deep Sea , který je plný pánské kosmetiky pečující o tělo. Potěší každého moderního muže, který dbá o svůj zevnějšek. Sada obsahuje: Old Spice Deep Sea sprchový gel pro muže 250 ml Old Spice Deep Sea tuhý deodorant 50 ml Old Spice Captain voda po holení 100 ml Jak používat: Každý produkt z kosmetického setu používejte dle jeho návodu.

Objev podobné jako Old Spice Deep Sea dárková sada pro muže

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

Kreativní sada Play-Doh Pokladna kombinuje modelovací hmotu s funkční pokladnou pro děti od 3 let. Sada obsahuje ruční skener pro čárové kódy, tiskárnu účtenek, speciální mince a 4 základní barvy modelíny. Pro funkci je potřeba dokoupit 2 AA baterie.

• Autentická pokladna s otevírací přihrádkou a tiskem účtenek
• Součástí ruční skener pro vytváření a čtení čárových kódů z modelíny
• Obsahuje 4 kelímky barevné modelovací hmoty a speciální Play-Doh mince
• Rozvíjí kreativitu a zábavnou formou učí principy obchodování

Objev podobné jako Play-Doh Pokladna (5010993696376)

Play-Doh Velký Grill je kreativní sada modelíny s hracím stolem ve tvaru grilu o rozměrech 53 cm. Obsahuje 10 kelímků modelíny v různých barvách a více než 40 kusů příslušenství včetně formiček na burgery, hotdogy a steaky. Sada je vhodná pro děti od 3 let a podporuje rozvoj kreativity a jemné motoriky.

• Rozsáhlá sada s 10 kelímky modelíny v různých barvách
• Realistický hrací gril o šířce 53 cm s mnoha doplňky
• Více než 40 kusů příslušenství včetně formiček na potraviny
• Bezpečná a kreativní zábava pro děti již od 3 let

Objev podobné jako Play-Doh Velký Grill

Play-Doh samostatná tuba obsahuje 112g žluté modelovací hmoty v praktickém kelímku. Hmota je vyrobena na biologickém základu, je bezpečná a vhodná pro děti od 2 let. Nezanechává stopy na rukou ani površích.

• Podporuje kreativitu a jemnou motoriku dětí
• Hmota vyrobená na biologickém základu je bezpečná
• Nezanechává stopy, nemastí a nelepí se na ruce
• Samostatný praktický kelímek pro snadné skladování

Objev podobné jako Play-Doh Samostatná tuba 112g Žlutá

Play-Doh samostatná tuba obsahuje 112g fialové modelovací hmoty v praktickém kelímku. Hmota je vyrobena na biologickém základu a je vhodná pro děti od 2 let. Nezanechává stopy a nelepí se na ruce.

• Podporuje kreativitu a jemnou motoriku dětí
• Vyrobeno na biologickém základu, šetrné k životnímu prostředí
• Nezanechává stopy, nemastí a nelepí se na ruce
• Vhodné pro děti již od 2 let věku

Objev podobné jako Play-Doh Samostatná tuba 112g Fialová

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Social Skills Bundle 2 Did and Didn’t learn when to study and when to play - Brandy

LEDVANCE LED panel PL PROT 600 P 36W 840 U19 PS UGR19 je profesionální vestavné svítidlo určené pro náročné provozy. Disponuje variabilním příkonem 22-36 W, světelným tokem až 5040 lm a vysokou účinností 140 lm/W. Panel je odolný proti prachu a vlhkosti (IP54), snižuje oslnění (UGR≤19) a je kompatibilní s nouzovým osvětlením.

• Variabilní příkon 22-36 W s technologií Power Select pro přizpůsobení světelného toku
• Vysoká odolnost s krytím IP54 na čelní straně a odolností proti nárazu IK06
• Vynikající světelný komfort s UGR ≤ 19 a indexem podání barev Ra > 80
• Snadná instalace do rastrových stropů 600×600 mm jako přímá náhrada zářivek

Objev podobné jako LEDVANCE LED panel PL PROT 600 P 36W 840 U19 PS UGR19 4099854083303

Manikúrová sada Premium Line PL 125CNV obsahuje 6 nástrojů z poniklované oceli pro kompletní péči o nehty. Dodává se v černém semišovém pouzdře zdobeném kamínky s praktickým patentovým zavíráním. Sada je vhodná jako dárek nebo cestovní společník díky kompaktnímu provedení.

• 6 profesionálních nástrojů z poniklované oceli
• Luxusní semišové pouzdro s kamínky
• Kompaktní a bezpečné patentové zavírání vhodné na cesty
• Německá kvalita výrobce Solingen

Objev podobné jako Premium Line Manikúrová sada 6-dílná rámečková PL 125CNV Made in Solingen (8595162103987)

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Growth Bundle 2 - Night in the Gardens - Low Joo Hong

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Strengths Bundle 2 The Forest Fable - Gerlyn Ong

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Strengths Bundle 2 Sarah’s Happy Holidays - Madeline Beale

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Social Skills Bundle 2 Could and Couldn’t are not afraid of the dark - Brandy

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Growth Bundle 2 A Warm Christmas - Leila Boukarim

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Social Skills Bundle 2 Abbie Rose and the Magic Suitcase: I Trapped a Dolphin but It Really Wasn’t My Fault - Neil Humphreys

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Growth Bundle 2 Sarah’s Great Adventures - Madeline Beale

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Strengths Bundle 2 Little Mole’s Awesome Star - Emily Lim-Leh

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Strengths Bundle 2 Mooty and Grandma - Jessie Wee

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Social Skills Bundle 2 Was and Wasn’t learn that it’s good to win, but it’s okay to lose - Brandy

The Read + Play series of books help children nurture a lifelong love for reading and learning through the power of play. With each story, children are guided through various Read and Play elements to immerse them in the story world experience. Start your child on an enriching journey of learning withRead + Play today!

Objev podobné jako Read + Play Growth Bundle 2 Orange Porange - Howard Pearlstein

Pánské tričko O'Neill FWC'PLAY GRAPHIC s krátkými rukávy má volnější střih pro pohodlí. Kulatý výstřih zajišťuje komfort, zatímco předsunutý ramenní šev dodává moderní vzhled. Tričko je vhodné pro každodenní nošení.

• Volnější střih pro maximální pohodlí a volnost pohybu
• Předsunutý šev na ramenou pro moderní vzhled a lepší střih
• Kulatý výstřih zajišťující komfort
• Ideální pro každodenní nošení

Objev podobné jako O'Neill FWC'PLAY GRAPHIC Pánské tričko, růžová, velikost

Puzzle Clementoni Play For Future s pirátskou tematikou obsahuje 24 maxi dílků vhodných pro děti od 3 let. Vyrobeno je z kvalitního papíru a podporuje rozvoj jemné motoriky a koncentrace. Skládání představuje příjemnou rodinnou aktivitu.

• Rozvíjí jemnou motoriku, představivost a koncentraci
• Uklidňující aktivita vhodná k relaxaci
• Kvalitní zpracování z papíru
• Vhodné pro děti již od 3 let

Objev podobné jako Clementoni Play For Future Puzzle Piráti MAXI 24 dílků (8005125202584)

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

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

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

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

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

Play is an essential part of learning and development for children and is an increasingly important aspect of creative approaches to teaching and learning in primary education. This book demonstrates the value of play in all its different forms as a highly effective medium for teaching and learning across the curriculum.The authors explore how play can be used to increase engagement, motivation and fun in learning situations, examining the theoretical principles of play for learning, types of play for older children, planned and facilitating play-based learning, using thematic approaches when working with individuals, groups and whole classes, in addition to covering important teaching issues such as assessment, inclusion and transition out of primary education.This is recommended reading for students on primary initial teacher education courses including undergraduate (BEd, BA with QTS), postgraduate (PGCE, SCITT), and employment-based routes into teaching, and also for practicing teachers wishing to enhance their own teaching. Mary Briggs is Mathematics and Education tutor at the University of Warwick. Alice Hansen is an educational consultant who works within a number of educational settings and national bodies developing continuing professional development for teachers.

Objev podobné jako Play-based Learning in the Primary School - Alice Hansen, Mary Briggs

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

Child-Initiated Play and Learning shows how a creative approach to learning that allows for spontaneous adventures in play through child-led projects can lead to rich learning experiences that build on children’s own interests. This second edition has been fully updated in light of policy and curriculum changes and features new material to help practitioners make informed decisions around digital technology and how children engage with it. Including scenarios and provocative questions for reflective practice, this book looks at planning and considers the possibilities that should be encouraged when playing alongside young children. Drawing on practice from Reggio Emilia, New Zealand, Scandinavia and in settings in the UK, the book covers all aspects of planning including:how to enable and empower children to lead projects;organisation of indoor and outdoor materials and space;inclusive practice and contemporary research;learning through managing risks and adventurous play;working with parents and carers;challenging teams to explore what they actually believe about possibilities of play.In a busy setting it can be difficult to adopt a flexible, creative approach to planning that embraces the unexpected rather than relying on templates or existing schemes of work. This book will give readers the confidence to adopt a flexible approach to planning that will ... Unknown localization key: "more"

Objev podobné jako Child-Initiated Play and Learning

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

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