Explicit for-loop optimisation or SupervisedTrainer

It seems that in the majority of tutorials, the optimisation for loop is given explicitly. In relatively few places, the SupervisedTrainer is used, despite existing for this reason.

I can see why having the explicit for loop is beneficial for tutorials - so that people are more aware of the inner workings. However, for the sake of conciseness, I would be in favour of having just one notebook (named suitably) in which the explicit for loop is given, and then from there on, using the SupervisedTrainer. Notebooks using SupervisedTrainer could then refer to the explicit notebook.

I think @ericspod is in favour of leaving the notebooks as they are, so as not to hide anything (which I understand). Anyone else have an opinion?

检查使用显式优化循环和 SupervisedTrainer 的教程 notebook，然后比较它们在教学中的作用。决定是否应保留一个 notebook 中的显式循环，而让其他 notebook 引用它；当教程集合遵循所选的一致方法时，即视为完成。