When I first noticed the Kaggle competition: “Planet: Understanding the Amazon from space” I was immediately thinking of trying out Transfer Learning using a pre-trained model. I had never really played with Transfer Learning before so I thought this would be a good one to try it out on. Transfer Learning is described by Wikipedia as:
“a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem”
where in this case the ‘relatedness’ of the problem is that both the Kaggle competition and the pre-trained model(s) are addressing computer vision problems. For more information on Transfer Learning there is a good resource from Stanfords CS class and a fun blog by Sebastian Ruder.