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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.
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.
| Erscheinungsjahr: | 2023 |
|---|---|
| Genre: | Importe, Physik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| ISBN-13: | 9789811285325 |
| ISBN-10: | 9811285322 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Autor: | Martin Erdmann, Jonas Glombitza Gregor |
| Hersteller: | World Scientific |
| Verantwortliche Person für die EU: | Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de |
| Maße: | 229 x 152 x 19 mm |
| Von/Mit: | Jonas Glombitza Gregor Martin Erdmann |
| Erscheinungsdatum: | 02.11.2023 |
| Gewicht: | 0,494 kg |
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