Deep Learning For Physics Research by Martin Erdmann
A core principle of physics is knowledge gained from data. Thus, deep learning has instantly entered physics and may become a new paradigm in basic and applied research.This textbook addresses physics students and physicists who want to understand what deep learning actually means, and what is the potential for their own scientific projects. Being familiar with linear algebra and parameter optimization is sufficient to jump-start deep learning. Adopting a pragmatic approach, basic and advanced applications in physics research are described. Also offered are simple hands-on exercises for implementing deep networks for which python code and training data can be downloaded.| SKU | Unavailable |
| ISBN 13 | 9789811285325 |
| ISBN 10 | 9811285322 |
| Title | Deep Learning For Physics Research |
| Author | Martin Erdmann |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | World Scientific Publishing Co Pte Ltd |
| Year published | 2021-06-28 |
| Number of pages | 340 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |