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In order to reach a rich level of green coloring,易明的丈夫在城外工作，她和儿子单独生活。相隔多年后，她在一次婚礼上与婷婷重新建立了联系。婷婷是她高中时的密友。与婷婷的邂逅不仅让易明从压抑的婚姻中解脱出来，也唤醒了她对婷婷的感情。现在台湾终于将同性婚姻合法化了，易明有勇气改变自己的生活吗？王舒望和陆露在泰国相遇相识，经历了一系列惊心动魄的事情之后，相爱了。回国后，两人准备结婚，却遭到了双方家庭的反对。王舒望放弃了北京的事业，来到上海，开了一家陶瓷店，向陆露的家人证明自己可以给陆露更好的生活。陆露的父母依旧认为王舒望和陆露不合适，不同意他们的婚事。王舒望的异父异母姐姐赵燕也多次来到上海，还和陆露的妈妈蒋妙音发生了争吵。这让两人的婚事再度拖延。陆露和王舒望的爱情不断经受着来自双方家庭的打击和考验。黄豆不知他这特性，就在面前找，哪里找得着。独立自强的钟款款经营巧克力店替父还债，她与富贵公子段天乐意外邂逅，并结下关于巧克力的幸福约定，在钟款款帮助段天乐追求千金阮郁莹的过程中，二人的情感发生微妙变化却遭到家庭反对，同时钟款款得到了事业型男神黎允征的爱慕，剧中人不但经历着情爱的纠葛、友谊的考验，同时，钟款款又面对着自己的身世之谜，段天乐面对着家族的遗产之争，他们终于在爱情与自我成长的双重考验下，兑现了巧克力的幸福约定。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 ~Defense method: The defense against CC attacks needs to be combined with the characteristics of the specific business, A series of defense models are established for specific services, such as connection feature model, client behavior model, service access feature model, etc. Receiving client statistics of customer information and carrying out a series of processing according to model features, including blacklisting, limiting access rate, randomly discarding requests, etc.