dl_lab_2017
by Markus Merklinger
The exercises for the deep learning lab course we are teaching at the University of Freiburg.
The course page itself can be found here: http://ais.informatik.uni-freiburg.de/teaching/ws17/deep_learning_course/
the solution for the exercises:
- notebooks/exercise_1.ipynb: soulitons of the first exercises good hyperparameters are foud with a hyper optimization with Tree of Parzen Estimators (TPE)
- ex02/ soulitons of the second exercises: CNN TF implementation, performance and runtime evaluation
requirements
- python3
- numpy
- matplotlib
- sklearn (shuffle)
- hyperopt
- functools