computational power required so we understood exactly what depth wise convolution is and also its computation power with respect to the traditional standard convolution but where exactly has this been used well there are some very interesting papers here the first is on multi model neural networks these are networks designed to solve multiple problems using a single network a multi model network has four parts the first is modality Nets to convert different input types to a universal internal representation then we have an encoder