ferienakademie2018-accelerating-physics-with-deep-learning

We tried to train simulation data of an airfoil in a pressure field to predict simulations using a deep neural network.

Name		Name	Last commit message	Last commit date
Latest commit History 175 Commits
saves		saves
.gitattributes		.gitattributes
.gitignore		.gitignore
ConvNet_Han.py		ConvNet_Han.py
README.md		README.md
Toy_network.py		Toy_network.py
Tutorial_1.ipynb		Tutorial_1.ipynb
barchannel0.png		barchannel0.png
barchannel1.png		barchannel1.png
barchannel2.png		barchannel2.png
functions.py		functions.py
jon.py		jon.py
modified_hannet_1.png		modified_hannet_1.png
modified_hannet_2.png		modified_hannet_2.png
modified_hannet_error_dist.png		modified_hannet_error_dist.png
result_hannet.png		result_hannet.png
toy1.png		toy1.png
toy2.png		toy2.png
toy_network_best_1.png		toy_network_best_1.png
toy_network_best_2.png		toy_network_best_2.png
toy_network_worst_1.png		toy_network_worst_1.png
toy_network_worst_2.png		toy_network_worst_2.png
tutorial.py		tutorial.py
visualization.py		visualization.py

BSVogler/ferienakademie2018-accelerating-physics-with-deep-learning