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“看到和自己一模一样的影子的人会死。All the people present at the position, No one has ever seen this posture, When the reaction comes back, Someone used the water from the kettle to pour Jiang Yong's small arm, It means that I want to rinse him, but the result is not bad. The rinse is even more serious. The speed of blistering has not weakened, but also accelerated a lot. I later thought that this may be the trick of the Vietnamese army. It can make this toxic substance react violently with water, that is, to prevent us from rinsing with water. The intention is really too vicious!Sorry to force a wave of chicken soup. Originally, I planned to write a machine learning series last year, but after writing three articles for work and physical reasons, there was no more. In the first half of this year, I was tired to death after doing a big project. In the second half of this year, I just took a breath of relief, so the follow-up that I owed before will definitely continue to be even more. In order not to let everyone worship blindly, I decided to write a series of in-depth study, one article per week, which will end in about three months. Teach Xiaobai how to get started. And finished! All! No! Fei! ! It is not simply to write demo and tuning parameters that are available on the Internet. Reject demo, start with me! If you don't understand, please leave a message under my article. I will try my best to reply when I see it. This series will mainly adopt the in-depth learning framework of PaddlaPaddle, and will compare the advantages and disadvantages of Keras, TensorFlow and MXNET (because I have only used these four frameworks, there are too many people writing TensorFlow, and I am using PaddlePaddle well at present, so I decided to start with this). All codes will be put on github (link: https://github.com/huxiaoman7/PaddlePaddle_code). Welcome to mention issue and star. At present, only the first article () has been written, and there will be more in-depth explanation and code later. At present, I have made a simple outline. If you are interested in the direction, you can leave me a message, and I will refer to the addition ~我们会将青鸾公主的首级送往京城报功。第一世（年代）Raj从国外留学回来，初见Pikul就希望得到她，用尽甜言蜜语，终于生米煮成熟饭，但他却一边哄着Pikul一边和富家女Sarapee订婚，表面上他告诉Pikul是家人逼迫，实际上对于Sarapee的美貌、财富，以及和和自己不谋而合的性格动了真心。同时也连累Pikul和她身边的人受到了Sarapee的百般羞辱和折磨。Sarapee可以说是拥有一切的女生，但却异常高傲，爱打人，想要得到的一定要得到，且手段极其残忍，身边所有人都只是她的工具而已。可怜的乡下女孩Pikul因为Raj一句从不打算实现的“爱的承诺”，不仅付出了自己的清白，最终搭上了自己的性命，在Raj和Sarapee的新婚之夜，吹着笛子七孔流血含恨而终。父母和乐班的人也皆死于非命，和所有被Sarapee害死的冤魂一起，困在古老的宅子里等待时机复仇。Sin从小加入乐班，是Pikul的守护者，并且爱慕着她，知道Pikul爱上Raj既生气，同时又无能为力，乐班里的Ueay暗恋他，而Sin在一次酒醉的情况下和Ueay发生了关系，致使Ueay怀孕，然而在Pikul等人死后，他选择出家避世，留下大着肚子的Ueay独自伤心。- - - -第二世（现代）Raj转世为Niraj是一位上进的有为青年，他有一个善良可爱的未婚妻Nisa（Sarapee转世），Nisa是位护士，以救人为己任。因为意外或者说是命运的安排，Raj遇到了还在等候她的鬼Pikul，Pikul以自己的怨念向Nisa展开报复，过程中Raj假借爱的名义无数次的欺骗了Pikul，只为了救出Nisa。最终老宅子燃起了一把大火，被伤害的万念俱灰的Pikul困在里面，将可能无法超生。Raj想起所有前世所做的错事，内疚不已，决定留在火海里陪伴Pikul以赎罪。Safe flight time is the most basic condition, and other assessment criteria include tactical theory, personal skills and physical fitness.银行职员田中胆小懦弱没自信，常常受到同事和上司的白眼和训斥，有一天，他竟然收到了一把枪，这把枪给了田中心理上的支持，从此他就能挺直身板做人啦。（草なぎ剛、小日向文世饰）