sequences from modeling temporal dependencies between elements of a sequence and since we are dealing with a sequence of GPS coordinates here or a sequence of image tiles are actually now a sequence of learned image features an RNN is an obvious choice here and there are an N then finally it gives you in the end which modality the person was likely to be taking was he walking going by bus taking the metro and so on and that what you can see here all that was basically one single deep learning model and it worked out reasonably well