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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 Learn
Implement reinforcement learning with Python
Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras
Deploy and train reinforcement learning¿based solutions via cloud resources
Apply practical applications of reinforcement learning
Who This Book Is For
Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.
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 Learn
Implement reinforcement learning with Python
Work with AI frameworks such as OpenAI Gym, Tensorflow, and Keras
Deploy and train reinforcement learning¿based solutions via cloud resources
Apply practical applications of reinforcement learning
Who This Book Is For
Data scientists, machine learning engineers and software engineers familiar with machine learning and deep learning concepts.
Understand how to package and deploy solutions in Python that utilize deep learning
Includes specific topics such as Q learning and deep reinforcement-learning
Covers the latest reinforcement learning packages
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 184 |
| Inhalt: |
xv
168 S. 47 s/w Illustr. 168 p. 47 illus. |
| ISBN-13: | 9781484251263 |
| ISBN-10: | 1484251261 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Beysolow Ii, Taweh |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 235 x 155 x 11 mm |
| Von/Mit: | Taweh Beysolow Ii |
| Erscheinungsdatum: | 24.08.2019 |
| Gewicht: | 0,289 kg |
Understand how to package and deploy solutions in Python that utilize deep learning
Includes specific topics such as Q learning and deep reinforcement-learning
Covers the latest reinforcement learning packages
| Erscheinungsjahr: | 2019 |
|---|---|
| Genre: | Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Seiten: | 184 |
| Inhalt: |
xv
168 S. 47 s/w Illustr. 168 p. 47 illus. |
| ISBN-13: | 9781484251263 |
| ISBN-10: | 1484251261 |
| Sprache: | Englisch |
| Ausstattung / Beilage: | Paperback |
| Einband: | Kartoniert / Broschiert |
| Autor: | Beysolow Ii, Taweh |
| Auflage: | 1st ed. |
| Hersteller: |
Apress
Apress L.P. |
| Maße: | 235 x 155 x 11 mm |
| Von/Mit: | Taweh Beysolow Ii |
| Erscheinungsdatum: | 24.08.2019 |
| Gewicht: | 0,289 kg |
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