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Abnormal name: Bleeding这是一部温暖、有趣的概念冒险故事片，直面人生中关于生和死的大问题，迷失的太空中，一位友善的外星人，陪同着两个孩子在茫茫宇宙中找寻着······经营欺诈等智能犯罪的警视厅搜查二课的搜查员西加音子（真矢美纪饰）是超节约主妇。和有点懦弱但温柔的丈夫武雄（村田雄浩）两个人一起生活。有一天，像往常一样在超市结束限时甩卖回家的路上，看到了武雄和一个陌生的年轻女子在咖啡厅见面。动摇了的加音子追问回到家的武雄，那个女性是武雄的部下。警察加音子希望调查自杀的父亲生前交往的园田八千代（池上季实子）。继续调查的话，判明除了那件事以外和八千代交往的人物也意外死亡了。八千代每次都收到大量的遗产。加音子等人对八千代的怀疑加重，去拜访了向她提交过去欺诈申请的舆水正平（温水洋一饰），但却得不到证明欺诈的证据，搜查又回到了开始阶段。在搜查陷入僵局的情况下，加音子和八千代现在的交往对象南场和茂见面，为了取得证据而埋入公寓。然而，在那里遇到了意想不到的现场…。Taidao 3.3AI is in the current air outlet, so many people want to fish in troubled waters and get a piece of the action. However, many people may not even know what AI is. The connection and difference between AI, in-depth learning, machine learning, data mining and data analysis are also unclear. As a result, many training courses have sprung up, which cost a lot of money to teach demo and adjust the participants. They have taught you to study engineers quickly and deeply in one month, making a lot of money. We should abandon this kind of industry atmosphere! In my opinion, any AI training currently on the market is not worth attending! Don't give money to others, won't it hurt? -However, when everyone taught themselves, they did not know where to start. I got a lot of data, ran a lot of demo, reported a lot of cousera, adjusted the parameters, and looked at the good results of the model. I thought I had entered the door. Sorry, sorry, I spoke directly. Maybe you even sank the door. In my opinion, there are several levels of in-depth study of this area: (ignore the name you have chosen at random-)Public int pret (Context context) {章邯谦虚道：大王言重了，此战实在是桓楚大意，被臣捡了便宜了。