Robustness of Limited Training Data: Part 5

Deep learning models for interpreting satellite imagery show increasing performance as the amount of training data is increased. We’ve looked at the details of how this plays out, but our previous studies of this topic have suffered from a weakness: they’ve all used just one model architecture, meaning the layout of artificial neurons and other details of the algorithm were the same each time. In this post, we’ll recreate our first analysis with a whole new model architecture, to see what changes and what stays the same.