NIPS2019 paper reproducibility

Project for the advanced deep learning course at KTH where the task was to choose a paper from NIPS 2019 and reproduce it. The chosen paper was about transfer learning: the objective was to train a network from another already trained network (the “teacher”) without any of the data the teacher network was trained with. The name of the paper is: “Zero-shot Knowledge Transfer via Adversarial Belief Matching”, it was re-implemented using Python and Pytorch and trained on the Google Cloud Platform.