[ FreeCourseWeb.com ] Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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English | (September 29, 2018) | ISBN: 1788991613 | 296 pages | EPUB | 19.28 MB
Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful libraries
Key Features
Implement Q-learning and Markov models with Python and OpenAI
Explore the power of TensorFlow to build self-learning models
Eight AI projects to gain confidence in building self-trained applications
Book Description
Reinforcement learning is one of the most exciting and rapidly growing fields in machine learning. This is due to the many novel algorithms developed and incredible results published in recent years.
In this book, you will learn about the core concepts of RL including Q-learning, policy gradients, Monte Carlo processes, and several deep reinforcement learning algorithms. As you make your way through the book, you'll work on projects with datasets of various modalities including image, text, and video. You will gain experience in several domains, including gaming, image processing, and physical simulations. You'll explore technologies such as TensorFlow and OpenAI Gym to implement deep learning reinforcement learning algorithms that also predict stock prices, generate natural language, and even build other neural networks.
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