Deep Learning for Physics Research

This repository contains additional material (exercises) for the textbook Deep Learning for Physics Research by Martin Erdmann, Jonas Glombitza, Gregor Kasieczka, and Uwe Klemradt.

The authors can be contacted under [email protected].

For more information on the book, refer to the page by the publisher.

Exercises

You can find the exercise page at: http://deeplearningphysics.org

You can directly open the exercise page in

or using the CERN SWAN service

Software

The exercises are based on Keras and TensorFlow v2.4.0. If you download the repository you can install the software requirements via:

pip install -r requirements.txt

License

This work (repository) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Citation

@book{doi:10.1142/12294,
	  author = {Erdmann, Martin and Glombitza, Jonas and Kasieczka, Gregor and Klemradt, Uwe},
	  title = {Deep Learning for Physics Research},
	  publisher = {WORLD SCIENTIFIC},
	  year = {2021},
	  doi = {10.1142/12294},
	  address = {},
	  edition   = {},
	  URL = {http://deeplearningphysics.org},
	  eprint = {https://worldscientific.com/doi/pdf/10.1142/12294}
}