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If you enjoyed this book, you may be interested in these other books by Packt:
PyTorch 1.x Reinforcement Learning
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ISBN: 978-1-83855-196-4
- Use Q-learning and the state–action–reward–state–action (SARSA) algorithm to solve various Gridworld problems
- Develop a multi-armed bandit algorithm to optimize display advertising
- Scale up learning and control processes using Deep Q-Networks
- Simulate Markov Decision Processes, OpenAI Gym environments, and other common control problems
- Select and build RL models, evaluate their performance, and optimize and deploy them
Hands-On Natural Language Processing with PyTorch 1.x
Thomas Dop
ISBN: 978-1-78980-274-0
- Use NLP techniques for understanding, processing, and generating text
- Understand PyTorch, its applications and how it can be used to build deep linguistic models
- Explore the wide variety of deep learning...