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电影讲述的是第二次世界大战太平洋战争重要转折点——中途岛海战：经此一役，日本海军受到“降维打击”，美日海上实力反转，从而扭转了整个太平洋战场的局势。影片通过参战士兵和飞行员一个个鲜活的故事，带领观众逐步进入1942年6月初发生在太平洋中途岛附近那场令人难以置信的战争……SWORD地区的"O"，通称"漆黑的凶恶高中"鬼邪高校。那里分为定时制和全日制，定时制的番长·村山良树(山田裕贵饰)成为支撑着鬼邪高校的头。转学进入鬼邪高校的全日制新生，花冈枫士雄(川村壱马饰)，为了有朝一日能向村山挑战，下定决心夺取全日制的天下。全日制由实力上处于领先 地位的轰（前田公辉饰）和芝（龙饰）、辻（铃木昂秀饰）轰一派、统领两年级的中越（神尾枫珠饰）和一年之隔的中冈（中岛健饰）率领的中冈一派、以残暴的战斗方式闻名的泰志（佐藤流司饰）、清史）率领的泰·清一派、和枫士雄曾经住在同一个地区的司（吉野北人）和其手下的果酱男（福山康平）统领的司一派等The verification code changes when recording, so if you want to use BurpSuite for replay attacks, you need to find a login website that does not need the verification code. 2.2. 2 During the experiment, first of all, according to the above analysis of replay attacks, I chose Touniu Net for the experiment. You can see that its login page does not need to enter a verification code. Then log in, And open BurpSuite to observe the intercepted login information, Forward the unwanted response in the past, Find the important information part, and the intercepted content is shown in the following figure: the circled part is my login name and encrypted password. Record the information to carry out replay attack. When accessing the login page again, only the request needs to be released again to achieve the login effect, without inputting the user name and password. The way to replay the attack is as follows, Choose Block Login Info. Right-click SendtoRepeater for a replay attack, Then enter the Repeater tab to observe, You can see that the content of the attack that you will replay appears in the request interface. Stand-alone go makes replay attacks, The return information of the page appears in the response interface, It represents the success of login authentication, as shown in the following figure: Let's modify the login information just recorded and replay it again to see how the results will be different. Here, I have deleted several digits from the user name, so the login will fail. Through the Compare tab, we can compare the page response after two logins.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.