a project for B-KUL-YI1328

tested on ubuntu 18.04

• clone this repo git clone https://github.com/JosseVanDelm/2018_labo_compressie_JosseVanDelm.git
• install all dependencies for keras docker container e.g. nvidia-docker (cf. KerasREADME.md)
• run make notebook (note token output on terminal)
• go to http://localhost:8888/ in a webbrowser, enter token from previous step here
• upload both .ipynb-files of this directory to the notebook.
• open the Convolutional Autoencoder (Training).ipynb file, this is the training-script. Start the training process. (takes about 30 minutes on CPU, and about 4 on GPU, depending on your system)
• open the Encoder and Decoder.ipynb file. This file uses the trained weights from the training phase to encode and decode any given image. You will notice however that this last script doesn't always provide the wanted outcome :(