https://github.com/psteinb/deeplearning-at-iktp2018
slidedeck for my presentation at the institute for nuclear and particle physics at TU Dresden, October 2018
https://github.com/psteinb/deeplearning-at-iktp2018
Last synced: over 1 year ago
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slidedeck for my presentation at the institute for nuclear and particle physics at TU Dresden, October 2018
- Host: GitHub
- URL: https://github.com/psteinb/deeplearning-at-iktp2018
- Owner: psteinb
- Created: 2018-08-29T08:23:19.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-10-11T12:05:32.000Z (over 7 years ago)
- Last Synced: 2025-01-06T12:59:44.167Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 20.5 MB
- Stars: 1
- Watchers: 4
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Deep Learning
Slides given at the 2018 Institute Seminar of the Institute for Nuclear and Particle Physics at the TU Dresden. To view them, go [here](https://psteinb.github.io/deeplearning-at-iktp2018/).
# How to build the slides
Follow the instructions [here](https://asciidoctor.org/docs/asciidoctor-revealjs/) here or just do:
``` shell
$ git clone https://github.com/psteinb/deeplearning-at-iktp2018.git
$ cd deeplearning-at-iktp2018.git
$ make prepare
$ make slides
```
# How to view the slides
Follow the steps outlined above to build the slidedeck. The open the produced `index.html` in a browser of your choice.
# Acknowledgements
* David Rousseau (CNRS/IN2P3, Université Paris-Saclay) & TrackML team
* Noreen Walker & the Scicomp team (MPI CBG/Scionics)
* Eric Brachmann (University Heidelberg)
* Michael Kobel and Joany Manjarrez (IKTP)