Language: English
Published by Apress (edition First Edition), 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
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First Edition
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Paperback or Softback. Condition: New. Applied Reinforcement Learning with Python: With Openai Gym, Tensorflow, and Keras. Book.
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First Edition
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Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New. 1st ed. edition NO-PA16APR2015-KAP.
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Applied Reinforcement Learning with Python | With OpenAI Gym, Tensorflow, and Keras | Taweh Beysolow Ii | Taschenbuch | xv | Englisch | 2019 | Apress | EAN 9781484251263 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning-based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts. 184 pp. Englisch.
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
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Condition: New. Print on Demand.
Language: English
Published by Apress, Incorporated, 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
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Condition: New. PRINT ON DEMAND.
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Beginning-Intermediate|Understand how to package and deploy solutions in Python that utilize deep learningIncludes specific topics such as Q learning and deep reinforcement-learningCovers the latest reinforcement learning p.
Language: English
Published by Apress, Apress Aug 2019, 2019
ISBN 10: 1484251261 ISBN 13: 9781484251263
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym.Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning-based solutions via cloud resourcesApply practical applications of reinforcement learningWho This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 184 pp. Englisch.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve into the world of reinforcement learning algorithms and apply them to different use-cases via Python. This book covers important topics such as policy gradients and Q learning, and utilizes frameworks such as Tensorflow, Keras, and OpenAI Gym. Applied Reinforcement Learning with Python introduces you to the theory behind reinforcement learning (RL) algorithms and the code that will be used to implement them. You will take a guided tour through features of OpenAI Gym, from utilizing standard libraries to creating your own environments, then discover how to frame reinforcement learning problems so you can research, develop, and deploy RL-based solutions.What You'll LearnImplement reinforcement learning with PythonWork with AI frameworks such as OpenAI Gym, Tensorflow, and KerasDeploy and train reinforcement learning-based solutions via cloud resourcesApply practical applications of reinforcement learning Who This Book Is ForData scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.