Balakrishnan kaushik (27 resultados)

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Paperback or Softback. Condición: New. TensorFlow Reinforcement Learning Quick Start Guide. Book.

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Paperback. Condición: New. Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasksKey FeaturesExplore efficient Reinforcement Learning algorithms and code them using TensorFlow and PythonTrain Reinforcement Learning agents for problems, ranging from computer games to autonomous driving.Formulate and devise selective algorithms and techniques in your applications in no time.Book DescriptionAdvances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving.The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator.By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems.What you will learnUnderstand the theory and concepts behind modern Reinforcement Learning algorithmsCode state-of-the-art Reinforcement Learning algorithms with discrete or continuous actionsDevelop Reinforcement Learning algorithms and apply them to training agents to play computer gamesExplore DQN, DDQN, and Dueling architectures to play Atari s Breakout using TensorFlowUse A3C to play CartPole and LunarLanderTrain an agent to drive a car autonomously in a simulatorWho this book is forData scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (as well as exposure to Python programming) will be useful. …

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Condición: New. In English.

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Paperback. Condición: New. Leverage the power of Tensorflow to Create powerful software agents that can self-learn to perform real-world tasksKey FeaturesExplore efficient Reinforcement Learning algorithms and code them using TensorFlow and PythonTrain Reinforcement Learning agents for problems, ranging from computer games to autonomous driving.Formulate and devise selective algorithms and techniques in your applications in no time.Book DescriptionAdvances in reinforcement learning algorithms have made it possible to use them for optimal control in several different industrial applications. With this book, you will apply Reinforcement Learning to a range of problems, from computer games to autonomous driving.The book starts by introducing you to essential Reinforcement Learning concepts such as agents, environments, rewards, and advantage functions. You will also master the distinctions between on-policy and off-policy algorithms, as well as model-free and model-based algorithms. You will also learn about several Reinforcement Learning algorithms, such as SARSA, Deep Q-Networks (DQN), Deep Deterministic Policy Gradients (DDPG), Asynchronous Advantage Actor-Critic (A3C), Trust Region Policy Optimization (TRPO), and Proximal Policy Optimization (PPO). The book will also show you how to code these algorithms in TensorFlow and Python and apply them to solve computer games from OpenAI Gym. Finally, you will also learn how to train a car to drive autonomously in the Torcs racing car simulator.By the end of the book, you will be able to design, build, train, and evaluate feed-forward neural networks and convolutional neural networks. You will also have mastered coding state-of-the-art algorithms and also training agents for various control problems.What you will learnUnderstand the theory and concepts behind modern Reinforcement Learning algorithmsCode state-of-the-art Reinforcement Learning algorithms with discrete or continuous actionsDevelop Reinforcement Learning algorithms and apply them to training agents to play computer gamesExplore DQN, DDQN, and Dueling architectures to play Atari s Breakout using TensorFlowUse A3C to play CartPole and LunarLanderTrain an agent to drive a car autonomously in a simulatorWho this book is forData scientists and AI developers who wish to quickly get started with training effective reinforcement learning models in TensorFlow will find this book very useful. Prior knowledge of machine learning and deep learning concepts (as well as exposure to Python programming) will be useful. …

Condición: New. pp. 184.

Taschenbuch. Condición: Neu. The Interaction of Chemical Explosions With Particle Clouds | The fluid mechanics of turbulent multiphase explosions | Kaushik Balakrishnan | Taschenbuch | 184 S. | Englisch | 2013 | Scholars' Press | EAN 9783639518122 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. …

PF. Condición: New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

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PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book is an essential guide for anyone interested in Reinforcement Learning. The book provides an actionable reference for Reinforcement Learning algorithms and their applications using TensorFlow and Python. It will help readers leverage the power of a.…

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book deals with the computational modeling aspects of chemical explosions and their interaction with reactive metal particle clouds, and is intended to assist researchers in the field. It is the outcome of the doctoral dissertation research work of the author at the Georgia Institute of Technology. The primary focus of the book is on the simulation of three-dimensional explosions from homogeneous and heterogeneous, two-phase explosive charges. The computational modeling issues are elaborately discussed in this book, and the physics of explosions are elucidated. The growth of Rayleigh-Taylor and Richtmyer-Meshkov instabilities in explosions are characterized, including their interaction with reactive metal particles. Furthermore, the physics of clustering of metal particles in their explosive dispersal is elaborated. Overall, this book summarizes the physics of multiphase explosions and provides useful insights to better understand this challenging fluid mechanic problem. 184 pp. Englisch.…

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book deals with the computational modeling aspects of chemical explosions and their interaction with reactive metal particle clouds, and is intended to assist researchers in the field. It is the outcome of the doctoral dissertation research work of the author at the Georgia Institute of Technology. The primary focus of the book is on the simulation of three-dimensional explosions from homogeneous and heterogeneous, two-phase explosive charges. The computational modeling issues are elaborately discussed in this book, and the physics of explosions are elucidated. The growth of Rayleigh-Taylor and Richtmyer-Meshkov instabilities in explosions are characterized, including their interaction with reactive metal particles. Furthermore, the physics of clustering of metal particles in their explosive dispersal is elaborated. Overall, this book summarizes the physics of multiphase explosions and provides useful insights to better understand this challenging fluid mechanic problem.…

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balakrishnan KaushikKaushik Balakrishnan obtained his PhD in Aerospace Engineering from the Georgia Institute of Technology in 2010. Since then he has been working at the Lawrence Berkeley National Laboratory modeling explosions, bla.…

Taschenbuch. Condición: Neu. TensorFlow Reinforcement Learning Quick Start Guide | Kaushik Balakrishnan | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781789533583 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Condición: New. Print on Demand pp. 184 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condición: New. PRINT ON DEMAND pp. 184.

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book deals with the computational modeling aspects of chemical explosions and their interaction with reactive metal particle clouds, and is intended to assist researchers in the field. It is the outcome of the doctoral dissertation research work of the author at the Georgia Institute of Technology. The primary focus of the book is on the simulation of three-dimensional explosions from homogeneous and heterogeneous, two-phase explosive charges. The computational modeling issues are elaborately discussed in this book, and the physics of explosions are elucidated. The growth of Rayleigh-Taylor and Richtmyer-Meshkov instabilities in explosions are characterized, including their interaction with reactive metal particles. Furthermore, the physics of clustering of metal particles in their explosive dispersal is elaborated. Overall, this book summarizes the physics of multiphase explosions and provides useful insights to better understand this challenging fluid mechanic problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch.…