Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guide Key FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook Description Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models. Starting with an introduction to RL, you’ll be guided through different RL environments and frameworks. You’ll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once you’ve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, you’ll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, you’ll find out when to use a policy-based method to tackle an RL problem. By the end of The Reinforcement Learning Workshop, you’ll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning. What you will learnUse OpenAI Gym as a framework to implement RL environmentsFind out how to define and implement reward functionExplore Markov chain, Markov decision process, and the Bellman equationDistinguish between Dynamic Programming, Monte Carlo, and Temporal Difference LearningUnderstand the multi-armed bandit problem and explore various strategies to solve itBuild a deep Q model network for playing the video game BreakoutWho this book is for If you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A basic understanding of the Python language is necessary.
Salient Features Conceptual approach to Radiology - 100 + CONCEPT BOXES700+ Multimodality Original ImagesIncludes all Recent (NEET / AIIMS / PGI / JIPMER) Pattern MCQsStandard Reference Books and Articles quoted throughout the bookTopic-wise index for Integrated Learning with other subjectsIncludes Normal Cross-sectional imaging Atlas - FIRST and ONLY Book with this featureTips-&-Tricks for exam preparation along with multiple MnemonicsNamed sign and appearances and Investigations of choice are covered as appendices.High yield topics in Radiology have been separately covered.
Global Nomad provides fascinating glimpses of Dan Mayur’s peripatetic life. In a lifetime of exploring the globe, he has traveled to over seventy countries visiting some of them multiple times. He is Indian by birth, American by education, and global nomad by choice. “The world is a mirror,” he says, “it reflects you. If you are good, it is good to you.” This book is an entertaining and informative rumination of a few of his selected travels covering parts of India, Australia, Bali, Cambodia, Thailand, Egypt, Greece, Russia, Peru, Chile, and Argentina. In the delightful narration of his experiences he creates vivid word pictures in the reader’s mind with his trademark lucid language using sensitivity, wit, humor, and an unmistakable philosophic undertone. Global Nomad will appeal to a wide audience of students, teachers, and travelers, indeed anybody with the slightest curiosity about our beautiful world.
This Book is a collection of entertaining, informative, and hard-hitting essays, Dan Mayur presents an insightful, ground-level view of the prevailing socioeconomic situation in the US, India, and Sweden. He has spent a considerable amount of time in these countries and his affection for them is transparent in the book. In a familial analogy, he says, India is my loving mother who raised and influenced me, America is my wonderful spouse to whom I am committed for life, and Sweden is a cherished dear friend. The essays present a forceful and candid expos and analysis of the political and social problems and suggest possible solutions where appropriate. Written for the general reader in a lucid language, this book will be of interest to a wide audience of teachers, students, travelers, and people with curiosity and specific interest in current global happenings.
Loving wife, obedient daughter, loyal friend. But if you provoke her, she will raise her hood and spit venom. A woman is stalked by a man she had once rejected. A housewife discovers a plot to kill her husband. A blind young girl is chased by an underworld gang. A woman is abused by her husband and spied on by her neighbour. But these are no ordinary women. Some of them aren t even women. In these macabre stories you will find beings that are both human and cobra the ichhadhari nags and nagins who are fierce in their love and ruthless in their revenge. And they are not the only abnormals that live among us: beautiful vish kanyas whose bodies secrete poison, powerful babas who practice black magic, shape-shifting jackals that feast on human heart and liver, fearsome half-human hunters who kill mercilessly and hideous vidrupas who can unhinge you with a kiss. You have been warned.
In this entertaining and informative memoir, Dan Mayur traces a fascinating life story from his humble beginnings in rural India to his ascent into corporate leadership in America. This is a book about the struggles of a young man in the pursuit of excellence in the face of the vicissitudes of life, with all its glorious unpredictability of setbacks and victories. It is about people and places and influences and experiences. In search of real happiness beyond a high-paying corporate job, he took early retirement to pursue his interests in travel, reading, writing, and charity. He proposes that laughing, learning, and loving are necessary and sufficient for happy living, and he brings out his wealth of lessons for life in his trademark lucid language, creating vivid imagery in the readers mind. He does this with philosophic undertones, using sensitivity, wit, and humor. Written as a road map for a successful and happy life, this book will appeal to a wide audience of teachers, students, travelers, and people with curiosity and interest in life and, above all, to all parents and children.
Salient Features Conceptual approach to Radiology - 100 + CONCEPT BOXES700+ Multimodality Original ImagesIncludes all Recent (NEET / AIIMS / PGI / JIPMER) Pattern MCQsStandard Reference Books and Articles quoted throughout the bookTopic-wise index for Integrated Learning with other subjectsIncludes Normal Cross-sectional imaging Atlas - FIRST and ONLY Book with this featureTips-&-Tricks for exam preparation along with multiple MnemonicsNamed sign and appearances and Investigations of choice are covered as appendices.High yield topics in Radiology have been separately covered.
Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guide Key FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook Description Various intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome. This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models. Starting with an introduction to RL, you’ll be guided through different RL environments and frameworks. You’ll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms. Once you’ve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, you’ll understand when to apply the different deep learning methods in RL and advance to deep Q-learning. The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout. Finally, you’ll find out when to use a policy-based method to tackle an RL problem. By the end of The Reinforcement Learning Workshop, you’ll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning. What you will learnUse OpenAI Gym as a framework to implement RL environmentsFind out how to define and implement reward functionExplore Markov chain, Markov decision process, and the Bellman equationDistinguish between Dynamic Programming, Monte Carlo, and Temporal Difference LearningUnderstand the multi-armed bandit problem and explore various strategies to solve itBuild a deep Q model network for playing the video game BreakoutWho this book is for If you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you. A basic understanding of the Python language is necessary.
In this entertaining and informative memoir, Dan Mayur traces a fascinating life story from his humble beginnings in rural India to his ascent into corporate leadership in America. This is a book about the struggles of a young man in the pursuit of excellence in the face of the vicissitudes of life, with all its glorious unpredictability of setbacks and victories. It is about people and places and influences and experiences. In search of real happiness beyond a high-paying corporate job, he took early retirement to pursue his interests in travel, reading, writing, and charity. He proposes that laughing, learning, and loving are necessary and sufficient for happy living, and he brings out his wealth of lessons for life in his trademark lucid language, creating vivid imagery in the readers mind. He does this with philosophic undertones, using sensitivity, wit, and humor. Written as a road map for a successful and happy life, this book will appeal to a wide audience of teachers, students, travelers, and people with curiosity and interest in life and, above all, to all parents and children.
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