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Viser: Reinforcement Learning - With Open AI, TensorFlow and Keras Using Python
Reinforcement Learning Vital Source e-bog
Abhishek Nandy og Manisha Biswas
(2017)
Reinforcement Learning Vital Source e-bog
Abhishek Nandy og Manisha Biswas
(2017)
Reinforcement Learning
With Open AI, TensorFlow and Keras Using Python
Abhishek Nandy og Manisha Biswas
(2017)
Sprog: Engelsk
Detaljer om varen
- Vital Source searchable e-book (Fixed pages)
- Udgiver: Springer Nature (December 2017)
- Forfattere: Abhishek Nandy og Manisha Biswas
- ISBN: 9781484232859
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: ubegrænset dage fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
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Detaljer om varen
- Vital Source 365 day rentals (fixed pages)
- Udgiver: Springer Nature (December 2017)
- Forfattere: Abhishek Nandy og Manisha Biswas
- ISBN: 9781484232859R365
Bookshelf online: 5 år fra købsdato.
Bookshelf appen: 5 år fra købsdato.
Udgiveren oplyser at følgende begrænsninger er gældende for dette produkt:
Print: 2 sider kan printes ad gangen
Copy: højest 2 sider i alt kan kopieres (copy/paste)
Detaljer om varen
- Paperback
- Udgiver: Apress L. P. (December 2017)
- Forfattere: Abhishek Nandy og Manisha Biswas
- ISBN: 9781484232842
Reinforcement Learning discusses algorithm implementations important for reinforcement learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before looking at Open AI Gym. You'll then learn about Swarm Intelligence with Python in terms of reinforcement learning. The last part of the book starts with the TensorFlow environment and gives an outline of how reinforcement learning can be applied to TensorFlow. There's also coverage of Keras, a framework that can be used with reinforcement learning. Finally, you'll delve into Google's Deep Mind and see scenarios where reinforcement learning can be used.
What You'll Learn
- Absorb the core concepts of the reinforcement learning process
- Use advanced topics of deep learning and AI
- Work with Open AI Gym, Open AI, and Python
- Harness reinforcement learning with TensorFlow and Keras using Python
Who This Book Is For
Data scientists, machine learning and deep learning professionals, developers who want to adapt and learn reinforcement learning.
Chapter 1: Reinforcement Learning basics.-
Chapter 2: Theory and Algorithms.-
Chapter 3: Open AI basics.-
Chapter 4: Getting to know Open AI and Open AI Gym the developers way.-
Chapter 5: Reinforcement learning using Tensor Flow environment and Keras.-
Chapter 6 Google's DeepMind and the future of Reinforcement Learning.