Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Good.
Anbieter: Books From California, Simi Valley, CA, USA
paperback. Zustand: Very Good.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 43,32
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 168 pages. 9.00x6.00x0.50 inches. In Stock.
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2019. 1st ed. paperback. . . . . . Books ship from the US and Ireland.
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Taschenbuch. Zustand: Neu. 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.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 184 pp. Englisch.