9. December-February in winter, By this time the lobsters had all entered the cave to escape the cold. By this time lobster was already in short supply, It was the highest price of the year, Our situation on the ground is that, By this time, Some idle people took shovels and dug holes everywhere to catch lobsters. At this time, there is usually no water in the pond. Lobster holes are all on the shore, An experienced person can see the lobster hole at a glance. At this time, some of them can be caught and sold. The price is generally twice that of summer. Of course, lobsters with eggs should be put back. It is said above that they basically hatch in October. Why are there still lobsters with eggs at this time? It is because lobsters are of different sizes and do not mature sexually at the same time. At this time, lobsters usually do not hatch until March of the following year because of the low temperature. Our local price at this time is: Lobster with mud collected 18-20% last year, basically with half of the mud, which is about 30 yuan. Taking mud in winter makes people feel that it was dug out of the hole. Even if it is not, it will be pasted with mud, which is basically a hidden rule. Just like selling crabs with ropes, selling 70 people without ropes is too expensive. Taking a few taels of ropes and lowering the price will make it easier for people to accept it.Variable name (N): androidClick the Download button:一九三七年底的扬州古城，烟花垂泪堤柳哀号，日本侵略者的铁蹄踏碎了一个个温馨的水乡梦。那一夜，人称“修脚小神刀”的华扬生一把飞刀掠过，救下了正被日本兵追杀的国民党团座安骏雄。扬州首富桂之章的小女儿桂玉蓉是安骏雄的恋人，却在一次偶患脚疾时爱上了为她解除极度脚痛的小师傅华扬生。于是，已经是安骏雄救命恩人的修脚小神刀同时又成为了安骏雄的情敌，一场乱世情爱便被人性道义善恶叛逆扭曲得面目全非了。天下乌鸦未必一样黑，臭味相投也不一定代表合拍。高中生赵胜男某日被表姐邀请参加神秘聚会，聚会上除了她的表姐，全都是浑身铜臭、恶俗不堪的中年男人，言行举止财大气粗光怪陆离。聚会上唯一与众不同的，是温文内敛的眼镜男王建国。夜幕下的都市声色犬马，二人决定离开沉闷的饭局，踏上一段意想不到的旅程，见证色欲横流的喧闹，看穿人“性”真貌。张梦一（徐洪浩 饰）的父亲是一名消防员，在一次执行任务时英勇牺牲。父亲的光辉事迹深深影响着张梦一，长大后，他决定走上和父亲相同的道路，成为了滨江特勤中队的中队长。在队里，张梦一意外邂逅了曾经的青梅竹马江涛（杨舒 饰），后者的身份是特勤队的指导员。两人因为教育理念的不同而产生了激烈的矛盾，气氛十分紧张。与此同时，张梦一还要想方设法对付手下一批不听指挥的新兵蛋子们，其中，富二代出生的富强（赵荀 饰）尤为难缠。张梦一爱上了名为叶璐（张慧 饰）的美丽女子，而叶璐竟然是富强同父异母的姐姐。这段恋情让张梦一在队里的处境更为复杂。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 ~
