other domains so far we're able to make reasonable speech models and things like that but to be honest we haven't actually explored a whole lot of different data sets all that much we don't for example see a lot of deep learning models of like biology datasets where you have lots of microarrays measuring the amount of different enzymes and things like that so we may find that some of the progress that we've seen for images and speech turns out to really rely heavily on the model architecture and we were able to do what