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    Learn Unity ML-Agents - Fundamentals of Unity Machine Learning. Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games

    (ebook) (audiobook) (audiobook) Książka w języku 1
    Autor:
    Micheal Lanham
    Learn Unity ML-Agents - Fundamentals of Unity Machine Learning. Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games Micheal Lanham - okladka książki

    Learn Unity ML-Agents - Fundamentals of Unity Machine Learning. Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games Micheal Lanham - okladka książki

    Learn Unity ML-Agents - Fundamentals of Unity Machine Learning. Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games Micheal Lanham - audiobook MP3

    Learn Unity ML-Agents - Fundamentals of Unity Machine Learning. Incorporate new powerful ML algorithms such as Deep Reinforcement Learning for games Micheal Lanham - audiobook CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    204
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Unity Machine Learning agents allow researchers and developers to create games and simulations using the Unity Editor, which serves as an environment where intelligent agents can be trained with machine learning methods through a simple-to-use Python API.

    This book takes you from the basics of Reinforcement and Q Learning to building Deep Recurrent Q-Network agents that cooperate or compete in a multi-agent ecosystem. You will start with the basics of Reinforcement Learning and how to apply it to problems. Then you will learn how to build self-learning advanced neural networks with Python and Keras/TensorFlow. From there you move o n to more advanced training scenarios where you will learn further innovative ways to train your network with A3C, imitation, and curriculum learning models. By the end of the book, you will have learned how to build more complex environments by building a cooperative and competitive multi-agent ecosystem.

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    O autorze książki

    Micheal Lanham is a proven software and tech innovator with 20 years of experience. During that time, he has developed a broad range of software applications in areas such as games, graphics, web, desktop, engineering, artificial intelligence, GIS, and machine learning applications for a variety of industries as an R&D developer. At the turn of the millennium, Micheal began working with neural networks and evolutionary algorithms in game development. He was later introduced to Unity and has been an avid developer, consultant, manager, and author of multiple Unity games, graphic projects, and books ever since.

    Micheal Lanham - pozostałe książki

    Packt Publishing - inne książki

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