Transfer learning is what makes this contest currently unique. Usually in these machine learning contests, you hand off your model to the contest runner, and t

Transfer learning is what makes this contest currently unique. Usually in these machine learning contests, you hand off your model to the contest runner, and they just run it and evaluate its performance. It has to be already good at the task. In this contest, you're not just submitting a trained model, you're submitted a docker environment capable of performing training, which they will run with their secret levels, with specified constraints. So you want to make a highly trained model whose capabilities can be transferred to secret levels.