Details zum E-Book

TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Palanisamy P

E-book
With 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.
  • 1. Developing building blocks for Deep RL using TensorFlow 2.x
  • 2. Implementing value-based, policy gradients and actor-critic Deep RL algorithms
  • 3. Implementing Advanced Deep RL algorithms
  • 4. RL in real-world: Building intelligent trading agents 
  • 5. RL in Real-World: Building Stock Trading Agents
  • 6. RL in real-world: Building intelligent agents to complete your ToDos 
  • 7. Deploying Deep RL Agents to the Cloud
  • 8. Building cross-platform (web, desktop, mobile) Deep-RL Apps using TensorFlow 2.x
  • 9. Distributed training and automated production deployment pipeline for Deep RL Apps
  • Titel: TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
  • Autor: Palanisamy P
  • Originaler Titel: TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
  • ISBN: 9781838985998, 9781838985998
  • Veröffentlichungsdatum: 2021-01-15
  • Format: E-book
  • Artikelkennung: e_2a2c
  • Verleger: Packt Publishing