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Memorandum mode: Pay attention to the state change of encapsulated objects and support state saving and recovery.King&Princeの高橋海人さん、神宮寺勇太さん、岩橋玄樹さんが、日本テレビ系連続ドラマ「部活、好きじゃなきゃダメですか？」(10/22スタート、月曜深夜0時59分)にトリプル主演する。同名コミックが原作のコメディー。主題歌はKing&Prince6人が歌う2ndシングル「Memorial」(10/10発売)が起用される。Among them, most unreliable success studies have chosen the wrong practice method. Although the slogan they shout is deliberate practice, the essence is not deliberate practice, because they do not activate long-term memory ability. For example, the number of times you play chess has no effect, and you cannot become a national player for 10 to 10,000 hours. However, if you look at the published chess scores and then speculate on the national players' playing methods, this deliberate practice method is to save SSD hard disks into the long-term memory hard disks: chunks that store the chess scores.　　与此同时，天真可爱的小灰灰跟大多数的小朋友一样，开始认识这个快乐的世界，在学习的过程中，他总是有各种各样奇怪的问题，特别的想法，让一向自以为绝顶聪明的家长——灰太狼也穷于应付。为了让小灰灰走上“正”途，灰太狼出尽法宝，一心想让小灰灰出“狼”头地。可是小灰灰却在玩乐中与小羊　　王学兵饰演的公安局年轻警察郭强接受指派监视陆菡青，希望通过她来发现薛从荣的蛛丝马迹。相处中，两人有对立敌视到相互了解，继而产生了了一段奇妙的感情……事关重大，必须要确信无疑才能行动。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 ~