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该剧生动反映了80后一代当下的情感、奋斗以及重重压力下内心的挣扎。2010年，中国的80后开始步入三十岁，这一现象已引发全球的关注。《30岁，你好》就是在这个大背景下应运而生的，《30岁，你好》也开了80后影视作品之先河，让杜淳、马苏、林继东、隋兰这几大主演为80后的一代人在剧中过起了“三十大寿”。CD里周杰伦一首隐藏的歌令武汉女生蒲蒲（浦蒲 饰）开始一段恋情，却也是在这首歌的陪伴下失恋。来到香港帮欲临盘的姐姐看热带鱼店时，为了寻回失落的爱，蒲蒲决定不惜一切代价寻找对她来说是最遥远也是最明亮的梦的收有这首隐藏的歌的“周杰伦的某张神秘唱片”。 　　找寻唱片的过程中，蒲蒲先后遇上二手唱片店店主宇仔（余文乐 饰）、水晶店老板保罗（陈奕迅 饰）、书店老板阿祖（吴大维 饰）、时常变换名字的女的士司机苏珊（何韵诗 饰）和警察阿勇（吴彦祖 饰）等等奇形怪状的人，通过他们，她逐渐对爱情哲学有了思考和感悟。Time and Date Editor Property SettingsAfter returning home, many students asked "what have you gained from the three rural areas". What I want to say is "some things can only be understood after experiencing them. Some gains are not at the end but in the process". At present, we are still not students who have gone out of school. We always have many lofty ideals and aspirations. Just like me, I am a freshman, and I always think that I can make great efforts in those developed cities after graduation, and my heart is higher than the sky. I don't think there is anything wrong with this. I have always classified this idea as my personal desire for advancement. But after this trip to the countryside, I seem to have realized something different. Everyone is diligent, everyone expects themselves to work in prosperous areas and enjoy high treatment, which is understandable. However, those who know how to repay the society and spread their light in poor areas are extremely noble. "Three Supports and One Help" is a very good policy to enable more college students to have such opportunities to shine.Diao Shen Xia: This kind of person may not be limited to running a few demo. He has also made some adjustments to the parameters in the model. No matter whether the adjustment is good or not, he will try it first. Each one will try. If the learning rate is increased, the accuracy rate will decrease. Then he will reduce it. The parameter does not know what it means. Just change the value and measure the accuracy rate. This is the current situation of most junior in-depth learning engineers. Of course, it is not so bad. For Demo Xia, he has made a lot of progress, at least thinking. However, if you ask why the parameter you adjusted will have these effects on the accuracy of the model, and what effects the adjustment of the parameter will have on the results, you will not know again.