input and some kind of dense in H which work or in vengeance so if you look at the architectures of our robots one model is just some dense layers it straightforward feed-forward neural network with a sparse input which is one half hour one hot in fighting so the count vectorizer here one of the parameters that I forget to put here was binary you can equal as through so the world is seen with the item description Swann otherwise it's you know so it's somehow some kind of one not encoder the second model was using the embedding and the