still propagating gradients from the end all the way through this transformation cell over at the beginning and for a long document this means very very deep networks that aren't just Toria Slee difficult to train and more importantly transfer learning never really worked on these LST M models right one of the great things about image net and cnn's is that you can train a convolutional net on millions of images in image net and take that neural network and fine-tune it for some new problem that you have and the the starting state of