that is very good at extracting important information from images that CNN then produces what that CNN thinks is important for making the modality estimation so called feature vectors it learns feature vectors which is simply a numeric dense vector representation of that image and what is important in that small image title in that sequence of image a feature vector s then goes into a recurrent neural network a so called R and n an errand n again is a type of neural network just a very different type which is great for modeling