Bộ sách luyện thi ETS 2023 LC&RC
199,000₫
299,000₫
Sách gia công, Bìa mềm
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.
Thể loại:Computers
Năm:2018
In lần thứ:1
Nhà xuát bản:Apress
Ngôn ngữ:english
Trang:174
