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朱伯庸是丽沙制衣企业的董事长。30年来，他对患病的妻子杨精和智障儿子朱宝不离不弃。外来工容花带着婆婆和奶奶，从乡下到省城附近的小城镇谋生。朱伯庸请容花做保姆。容花的善良赢得杨精和朱宝的好感与依赖。农民工尹力从临时工干起，帮助丽沙企业解决了不少难题。无业游民陈全因生意失败而落魄。得到容花的帮助而振作起来。他对容花由感激生爱。想娶容花为妻，令容花深感困惑。尹力对丽沙企业总经理朱珠有好感，但朱珠无动于衷。朱伯庸用事实改变了她看不起农民工的错误世俗观念。朱珠逐渐接受了尹力。在他们的联手合作下，丽沙制衣企业日益兴旺。容花也带着前夫的妈妈和奶奶，照看着朱宝。外来的一个小家庭，与朱伯庸一家和睦相处，融进了大城市的生活，共同走向和谐幸福的明天。Lv1-30 Skill +1延续前一集的剧情，狮子亚历克斯（本·斯蒂勒 Ben Stiller 配音）、斑马马蒂（克里斯·洛克 Chris Rock 配音）、长颈鹿迈尔曼（大卫·休默 David Schwimmer 配音）、河马格洛里亚（贾达·萍克·史密斯 Jada Pinkett Smith 配音）以及企鹅们，为了能离开马达加斯加岛回到五光十色的纽约，对一架破旧的失事飞机进行维修改造，并成功起飞。当大家已经开始庆祝终于可以回到纽约时，飞机却意外降落，迫降到了非洲大草原上。在这儿，狮子亚历克斯终于见到了它的父母。但是由于生活习性上太多不一样，而且言行举止各异，使得这群纽约来的动物们显得格格不入。这群昔日纽约中央公园的动物明星们，在这野外艰难的环境中应该怎么办？虽然在这儿遇见了自己的同类，但因为习性不同，使得自己无法完全融入他们的群体。为了能融入环境，与同类们建立良好的关系，大家都是施展各种招式，笑料百出。男主Ram （Pope Thanawat 饰）是Rajpakdee酒居老板Pisarn的独子。小时候，备受父母疼爱，是个非常幸福的孩子。可是直到Ram的母亲因病去世，父亲再娶Pudgrong，一切都变了样。这个结过两次婚，带上两个女儿来到他家的女人窃取了父亲对他的爱。自此Ram渐觉自己被父亲遗弃了，内心变得复杂，脾气也很暴躁，他为了掩饰自己的内心的孤独，更变得咄咄逼人。他极其厌恶Pudgrong，特别对她的小女儿，也就是女主Kratin （Diana Flipo 饰）存在偏见。Ram从小就特爱欺负Kratin，总是不自觉地去招惹她……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 ~