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孪生姐妹紫兰和百合因种种误会成为陌路人，六十年后，因为百合的女儿需要换肾，两人又重新走到一起，多年的误会消除了，善良的人们在真情的付出中得到了幸福的回报。距离魔王被义彦（山田孝之 饰）、团丈（宅麻伸 饰）、美列布（穆罗刚 饰）和阿紫（木南晴夏 饰）一行人打败后，已经过去了百年，曾经的勇者们早已经化作了白骨，为了纪念他们的壮举，村民们特地为他们修缮了奢华的陵墓。好景不长，魔王的封印再度被解开，人间即将面临毁灭的危机，可是村中却再无能够独当一面的勇者站出来为民除害，无奈下，佛祖（佐藤二朗 饰）只得将英勇的四人复活，命其再度踏上冒险的旅途。两人都静默下来，慢慢用完饭，又一起回去收赌债。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 ~Sentencing criteria for intentional injury: if the circumstances are relatively minor, he shall be sentenced to fixed-term imprisonment of not less than three years but not more than 10 years; If the circumstances are relatively serious, he shall be sentenced to fixed-term imprisonment of not less than 10 years; If the circumstances are especially serious and cause death, he shall be sentenced to life imprisonment or death.10,000 Yuan Zhang Yi's "Sichuan Changhong Struggling with" Depth "Editor: Wang Lifeng