如果你每次都这样做,会变得容易,如果你不刻意想原来的那些画面,会渐渐褪去。
If you do this each time, it will get easier and, unless you deliberately bring up the old images, they will fade away.
对每次尝试来说,训练集都非常大,这意味着你的算法有足够的数据进行学习,而且这样一来也提供了足够多的测试次数(20次,而不是5次或10次)。
This gives you a much larger training set for each trial, meaning that your algorithm will have enough data to learn from, but it also gives a fairly large number of tests (20 instead of 5 or 10).
然而,这样做不能让你每次都成功。
You won't always draw out every single possibility that you have to start with.
你都可以这样做,大家并不需要每次都把所有可能的结构都写出来。
if you don't want to use that, you can also derive it as we did every time, it should intuitively make sense how we got there. But the exams are pretty short, so we don't want you doing that every time, so we'll save the 2 minutes and give you the equations directly, but it's still important to know how to use them.
吸收的和发射的,如果你不想用公式,你也可以每次都向我们这样推导它,很直观的就能得到结果,但考试时间很短,我们不希望你们每次都推导,所以我们会直告诉你,让你节省2分钟,但知道如何应用它十分重要。
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