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  2. Kunstig intelligens
  3. Neurale net og fuzzy systemer

Grokking Deep Reinforcement Learning

Af: Miguel Morales Engelsk Paperback

Grokking Deep Reinforcement Learning

Af: Miguel Morales Engelsk Paperback
Tjek vores konkurrenters priser

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.

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Tjek vores konkurrenters priser
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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.

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Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 465
ISBN-13: 9781617295454
Indbinding: Paperback
Udgave:
ISBN-10: 1617295450
Kategori: Neurale net og fuzzy systemer
Udg. Dato: 1 jan 2021
Længde: 30mm
Bredde: 235mm
Højde: 187mm
Forlag: Manning Publications
Oplagsdato: 1 jan 2021
Forfatter(e): Miguel Morales
Forfatter(e) Miguel Morales

Kategori Neurale net og fuzzy systemer

ISBN-13 9781617295454

Sprog Engelsk

Indbinding Paperback

Sider 465

Udgave

Længde 30mm

Bredde 235mm

Højde 187mm

Udg. Dato 1 jan 2021

Oplagsdato 1 jan 2021

Forlag Manning Publications

Kategori sammenhænge