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But then again, It is not entirely true to say that the fire cut-off at position 142 is exactly the same as that at position 169. Because in addition to the large consumption of ammunition, There is also a major reason: It was at that time that some comrades of the reconnaissance troops found out that the Vietnamese army had failed to sneak attack. Pull a large number of large caliber artillery prepared in advance out of the woods, Prepare to support the infantry that stormed various positions. After this message is delivered to the rear, The first task of our artillery group changed from blocking the Vietnamese attack to suppressing and destroying the Vietnamese artillery group. The two sides started an artillery battle over this, Although it is said that our artillery is not only in terms of performance but also in terms of quantity, Both of them had an overwhelming advantage, coupled with the precise positioning of the comrades of the reconnaissance troops, so it took 20 minutes to complete the complete elimination of the Vietnamese artillery group. Later, I also saw in a military magazine that when the artillery battle was the most intense, some artillery comrades who pulled the bolt swollen their arms. It is conceivable how fierce the fight was. " Li Haixin said.在一个以昆虫为主的后世界末日的废墟中，一只有感知力的蟑螂发现了被遗忘的《氰化欢乐秀》VHS录像带，从而揭开了最疯狂的一季。本季将在一个满是古怪角色的荒谬宇宙中，探索大家都在问的问题，以及一些无人问津的问题The Jia family was defeated. As the daughter of Lin Ruhai, Lin Ying and Jia Minsheng were born to Gu Xiqian of Lin Men Su's family.Yuan Li Spokesman: 600,000 RMB per year Liu Yiwei Spokesman: 1 million RMB every two years在一所普通却又不平凡的大学内，班里的同学都是个性十足！有不学无术却永远年级第一的高冷校草，有爱学习却万年老二、长相小可爱实则脾气火爆的拽丫头，有性格软弱常陷左右为难的班长，有不食人间烟火、不是白莲花的“白莲花”，有黑长直女神外表却神经大条常出糗的班主任，有隐藏富二代身份却打扮土气像大叔的年轻体育老师，学生们总是调皮捣蛋恶作剧，老师们更是道高一尺魔高一丈，他们在欢闹中成长着。From the defender's point of view, this type of attack has proved (so far) to be very problematic, because we do not have effective methods to defend against this type of attack. Fundamentally speaking, we do not have an effective way for DNN to produce good output for all inputs. It is very difficult for them to do so, because DNN performs nonlinear/nonconvex optimization in a very large space, and we have not taught them to learn generalized high-level representations. You can read Ian and Nicolas's in-depth articles (http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attaching-machine-learning-is-easier-than-defending-it.html) to learn more about this.