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Reinforcement Learning: With Open AI, TensorFlow and Keras Using Python

-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
91,15 
Įprasta kaina: 107,23 
-15% su kodu: ENG15
Kupono kodas: ENG15
Akcija baigiasi: 2025-03-03
-15% su kodu: ENG15
2025-02-28 107.2300 InStock
Nemokamas pristatymas į paštomatus per 11-15 darbo dienų užsakymams nuo 10,00 

Knygos aprašymas

Master reinforcement learning, a popular area of machine learning, starting with the basics: discover how agents and the environment evolve and then gain a clear picture of how they are inter-related. Yoüll then work with theories related to reinforcement learning and see the concepts that build up the reinforcement learning process.
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. Yoüll 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.

Informacija

Autorius: Manisha Biswas, Abhishek Nandy,
Leidėjas: Apress
Išleidimo metai: 2017
Knygos puslapių skaičius: 184
ISBN-10: 1484232844
ISBN-13: 9781484232842
Formatas: 235 x 155 x 11 mm. Knyga minkštu viršeliu
Kalba: Anglų

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