syllabus improves the calls up see the labels and achieve the better results also either board and actually one more dish that we are using here is that where a train is a model so at each stage we train the model from scratch so what what does it mean if we're trains we forgot to change model from with the first stage to the second and sort and so on we could finish with the situation when our like error propagates through each iteration so if I have made an error in the first round and out to the label I'll quit inaccurate then this error