物品 #:
225552550
Grokking Deep Reinforcement Learning
物品 #:
225552550
HKD 819
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產品詳情
- Written for developers with some understanding of deep learning algorithms. Experience with reinforcement learning is not required.Grokking Deep Reinforcement Learning introduces this powerful machine learning approach, using examples, illustrations, exercises, and crystal-clear teaching. You'll love the perfectly paced teaching and the clever, engaging writing style as you dig into this awesome exploration of reinforcement learning fundamentals, effective deep learning techniques, and practical applications in this emerging field.We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.• Foundational reinforcement learning concepts and methods • The most popular deep reinforcement learning agents solving high-dimensional environments • Cutting-edge agents that emulate human-like behavior and techniques for artificial general intelligence Deep reinforcement learning is a form of machine learning in which AI agents learn optimal behavior on their own from raw sensory input. The system perceives the environment, interprets the results of its past decisions and uses this information to optimize its behavior for maximum long-term return.
| Publisher | Manning Publications |
| Publication date | 10 Nov. 2020 |
| Edition | 1st |
| Language | English |
| Print length | 465 pages |
| ISBN-10 | 1617295450 |
| ISBN-13 | 978-1617295454 |
| Dimensions | 18.73 x 2.54 x 23.5 cm |
產品敘述
Grokking Deep Reinforcement Learning
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English edition Miguel Morales Format: Paperback Editorial Review
Grokking Deep Reinforcement Learning, published by Manning Publications, offers an insightful dive into the principles and applications of deep reinforcement learning over 465 pages. The book, released on November 10, 2020, is crafted in English and presents complex concepts in an accessible manner suitable for learners at various levels. Readers appreciate the thorough explanations and practical examples that enhance understanding. It's also noted for its clear structure and engaging writing style, making it easier to grasp challenging ideas in the field. Whether you're diving into reinforcement learning for the first time or looking to deepen your knowledge, this book serves as an excellent resource.
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優點
- Clear and accessible explanations of complex concepts
- Engaging writing style keeps readers interested
- Well-structured content for effective learning
- Practical examples enhance understanding
- Suitable for learners at various experience levels
缺點
- Some advanced topics may require additional research
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