Code for AI Ukraine 2018 workshop "Introduction to Capsule Networks"

Please note! Source code for workshop can be changed up to Friday, 11 Oct.(freeze date). Clone the latest version please.

1. To prepare for the workshop, please:

   • Download Python notebook.
   • Register/try Google Colab https://colab.research.google.com/notebook
   • Use notebook in Google Colab (preffered way) or install dependencies and run notebook locally.

2. Dataset used: German Traffic Sign Dataset. http://benchmark.ini.rub.de/?section=gtsrb&subsection=dataset This dataset has more than 50,000 images of 43 classes. You can compare other models with other implementations.

Pickled, prepared dataset you can find here: https://d17h27t6h515a5.cloudfront.net/topher/2017/February/5898cd6f_traffic-signs-data/traffic-signs-data.zip (This scaled and pickled dataset was taken from the source: https://github.com/mohamedameen93/German-Traffic-Sign-Classification-Using-TensorFlow , you can find LeNet-5 and VGGNet models implementation for this dataset)

4. Final version of the notebook with source will be presented during the workshop.