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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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TensorFlow 2 Reinforcement Learning Cookbook - Over 50 recipes to help you build, train, and deploy learning agents for real-world applications (Paperback)
Loot Price: R1,199
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TensorFlow 2 Reinforcement Learning Cookbook - Over 50 recipes to help you build, train, and deploy learning agents for real-world applications (Paperback)
Expected to ship within 10 - 15 working days
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Discover recipes for developing AI applications to solve a variety
of real-world business problems using reinforcement learning Key
Features Develop and deploy deep reinforcement learning-based
solutions to production pipelines, products, and services Explore
popular reinforcement learning algorithms such as Q-learning,
SARSA, and the actor-critic method Customize and build RL-based
applications for performing real-world tasks Book DescriptionWith
deep reinforcement learning, you can build intelligent agents,
products, and services that can go beyond computer vision or
perception to perform actions. TensorFlow 2.x is the latest major
release of the most popular deep learning framework used to develop
and train deep neural networks (DNNs). This book contains
easy-to-follow recipes for leveraging TensorFlow 2.x to develop
artificial intelligence applications. Starting with an introduction
to the fundamentals of deep reinforcement learning and TensorFlow
2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and
how to develop basic agents. You'll discover how to implement
advanced deep reinforcement learning algorithms such as
actor-critic, deep deterministic policy gradients, deep-Q networks,
proximal policy optimization, and deep recurrent Q-networks for
training your RL agents. As you advance, you'll explore the
applications of reinforcement learning by building cryptocurrency
trading agents, stock/share trading agents, and intelligent agents
for automating task completion. Finally, you'll find out how to
deploy deep reinforcement learning agents to the cloud and build
cross-platform apps using TensorFlow 2.x. By the end of this
TensorFlow book, you'll have gained a solid understanding of deep
reinforcement learning algorithms and their implementations from
scratch. What you will learn Build deep reinforcement learning
agents from scratch using the all-new TensorFlow 2.x and Keras API
Implement state-of-the-art deep reinforcement learning algorithms
using minimal code Build, train, and package deep RL agents for
cryptocurrency and stock trading Deploy RL agents to the cloud and
edge to test them by creating desktop, web, and mobile apps and
cloud services Speed up agent development using distributed DNN
model training Explore distributed deep RL architectures and
discover opportunities in AIaaS (AI as a Service) Who this book is
forThe book is for machine learning application developers, AI and
applied AI researchers, data scientists, deep learning
practitioners, and students with a basic understanding of
reinforcement learning concepts who want to build, train, and
deploy their own reinforcement learning systems from scratch using
TensorFlow 2.x.
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