积不善之家，必有余殃，我今天才明白这话的意思。
三年未到，就成就地仙之位。
Create a sparse array. When traversing the sparse array, you will find that the array has no elements, and JS will skip these pits.
Ben大学毕业后就独自生活，成为了直播带货的主播，Jim是Ben的发小，但多年前已经随父亲迁居别的城市，并在互联网上有一定的知名度。因为疫情，国家宣布了加强社区隔离规定，于是Ben回到老家度过居家隔离时期。两人是否会因此产生超过友谊的情感呢？
另外，凌晨时分还有一更，是周一的加更。
The ICalculator in the figure provides the agreed method,
有些东西他们该让他们看到，有的东西想见也见不着。
There are many modes of P2P platform, and P2P credit is one of them. It refers to people who have funds and financial investment ideas, and lend funds to other people who need loans through a third-party network platform by means of credit loans.
艾菲菲曾经是个瘾君子，在情人和生
太平洋は燃えているか？ 川岡大次郎 大高洋夫
"Of course not bamboo rat, I am from Yunnan, I have seen more bamboo rat, I said it is a big rat, naturally much bigger than the general rat, bamboo rat in front of it is nothing at all, how big is this rat? To put it simply, it is not much smaller than domestic cats, and some are even a little bigger. The body is cylindrical, and the tail behind the buttocks is thicker than the thumb of normal people. Moreover, it is different from the soft cortex of ordinary mice. This kind of big mouse is hard all over, that is, the kind of hard with extremely developed muscles and no fat. " Zhang Xiaobo said, stretching out his hand and gesticulating in the air. According to the volume of his gesticulating, if the mouse can grow to this size, it is really extremely frightening. Even one mouse is so, and the scene is really very frightening when it appears in groups.
32岁职业女性岩木亚希子（绫濑遥饰）的结婚对象是上班族宫本良一（竹野内丰饰），宫本还带着一个8岁的女儿。由于岩木亚希子不习惯家务和育儿，也没有照顾小朋友的经验，在一开始闹出了许多笑话。但这对后妈和女儿的感情也在逐渐升温，三人一起组成了温馨的家庭。
1942年10月，日华北方面军派遣1.6万兵力扫荡在岳北部，据守沁源县城，企图以此为基地，分割蚕食太岳抗日根据地。为粉碎日军阴谋，八路军太岳军区主力与地方武装、民兵团结奋战，进行了一场艰苦卓绝的战领与反占领，围困与反围困的“沁源围困战”。
Real socks are natural and clean in color.
Http://www.jiemian.com/article/1948579.html
雷厉风行的广告公司主管吴御心，有着让人闻风丧胆的办公作风，但谁也料不到她私下其实是个御宅族，钟爱二次元反差极大，只是她为了保住自己的职场形象，从不会让别人知道这个秘密。直到有一天她的二次元男神破了次元壁来到了她的世界，但他竟然也有双面人格？吴御心是否能接受男神不为人知的另一面？
这不是单纯的进言，也不是单纯的献媚，因为所进之言，充满了媚意，可说它是献媚，却有几分实干的意志在里面。
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 ~
