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　　前作《情色小说家》发挥了作为FOD配信电视剧的优势，在FOD原创作品中获得了难得的高人气记录。以推特为中心的SNS上观众们的反响热烈，每集配信之后都会在SNS的话题排名中居高不下，在放送结束后制作组也收到了惋惜的反馈。可是现在可以说是箭在弦上不得不发，何况尹旭一方强势异常，多有咄咄逼人之事。本剧改编自阿加莎·克里斯蒂同名小说《悬崖上的谋杀》。Right-click my computer and select Properties到时候项羽若是要对付他，那他根本没有能力反抗，只能是人为刀俎我为鱼肉，任人宰割。But we didn't realize it until the first big mouse emerged from the trench of the position. The big rats under the "earth beam" are only a few that dig shallow holes. Most of the deep digging is simply not visible from the surface, This is what I said just now. If you dig shallow, you can barely hit it. You can't see it deep, There is no way out, At last this thing was dug up and emerged directly from the trench wall. Then don't even shake the soil on your body, Bite at the sight of men, As the number of drillings grows, In the end, there were several times more rats than people in the position. Forming a situation of several besieging a soldier, Seeing the urgency of the situation, But 'the lame man caught up with the uneven road' (this is a folk proverb, meaning to make things worse, the house leaks when it rains at night), The big wasps that were repelled for the first time launched another attack, or from the left and right wings, in your words, this also formed the "open space" to cooperate in the battle. It is very strange that the big wasps did not attack the big rats on the ground at one time, but only stung people. They are obviously "a group" of dogs. Alas, then we will fight too badly. " Zhang Xiaobo said with a long sigh here, and I couldn't help but be surprised. This big mouse can dig out more than 100 meters of passages underground in more than half an hour. How fast is this? That's a speed of more than 30 centimeters per minute. Although it is said that the soil on the southern border is softer and no harder than that in the north, it can dig more than 30 centimeters per minute. This speed is really staggering.Demo Xia: I downloaded all the popular frameworks at present. I ran for the examples in different frames and looked at the results. I just thought it was good. Then I thought, well, in-depth learning is just like that. It's not too difficult. This kind of person, I met a lot during the interview, many students or just changed careers came up to talk about a demo, handwritten number recognition, CIFAR10 data image classification and so on, but you asked him how the specific process of handwritten number recognition was realized? Is the effect now good and can it be optimized? Why should the activation function choose this, can it choose another? Can you explain the principle of CNN briefly? I'm overwhelmed.