Reinforcement Learning

Szerző: Abhishek Nandy, Manisha Biswas

Nyelv:

Kötés: Puha kötésű

Kiadó: APress

Elérhetőség: Beszállítói készleten

Küldés 5-8 napon belül

24 529 Ft

Master reinforcement learning, a popular area of machine learning, starting with the basics: discove...

Információk a könyvről

Szerző

Abhishek Nandy, Manisha Biswas

Nyelv

Angol

Kötés

Könyv - Puha kötésű

Kiadva

2017

oldal

167

EAN

9781484232842

ISBN

1484232844

Enbook ID

18202140

Kiadó

APress

Súly

308

Méretek

239 x 156 x 14

Teljes leírás

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. You'll 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. 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.

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Reinforcement Learning

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