Deep learning and physics
Tanaka, Akinori.

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  • Deep learning and physics
  • 紀錄類型: 書目-電子資源 : Monograph/item
    正題名/作者: Deep learning and physics/ by Akinori Tanaka, Akio Tomiya, Koji Hashimoto.
    作者: Tanaka, Akinori.
    其他作者: Tomiya, Akio.
    出版者: Singapore :Springer Singapore : : 2021.,
    面頁冊數: xiii, 207 p. :ill., digital ;24 cm.
    內容註: Chapter 1: Forewords: Machine learning and physics -- Part I Physical view of deep learning -- Chapter 2: Introduction to machine learning -- Chapter 3: Basics of neural networks -- Chapter 4: Advanced neural networks -- Chapter 5: Sampling -- Chapter 6: Unsupervised deep learning -- Part II Applications to physics -- Chapter 7: Inverse problems in physics -- Chapter 8: Detection of phase transition by machines -- Chapter 9: Dynamical systems and neural networks -- Chapter 10: Spinglass and neural networks -- Chapter 11: Quantum manybody systems, tensor networks and neural networks -- Chapter 12: Application to superstring theory -- Chapter 13: Epilogue -- Bibliography -- Index.
    Contained By: Springer Nature eBook
    標題: Physics - Data processing. -
    電子資源: https://doi.org/10.1007/978-981-33-6108-9
    ISBN: 9789813361089
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