事业前景光明的年轻歌手在霸道家人、业界压力以及对女友的爱恋之间难以抉择。
在宇宙某处有一颗叫K10星云的迷你星球，有一群可爱的小怪兽生活在这颗星球上。小怪兽们在一起嬉戏打闹。某一天，小比格来到了这颗星球，故事就此开始了！
《海洋》是一部以环保为主题的纪录片，有法国著名纪录片大师雅克贝汉导演。
《爱是永恒》改编自法国作家艾莉丝费尼的小说，描述十九世纪末，正当双十年华的范伦婷爱上朱勒斯，两人决定共组美好家庭，却遇上世界大战爆发。
电视剧《极速救援》讲述了在嘉安医院飞行医疗部的背景下，由张赫饰演的贱萌医生司乔、王佳宇饰演的果决护士莫沫、魏哲鸣饰演的学霸医生于飞，与刘忻、奇凌饰演的2位直升机飞行员组成飞行医疗救援小组，力克艰险环境，穿梭云端争分夺秒抢救生命的热血故事。
美美子作为店长经营着烘焙店"咪咪"，在烘焙店工作虽然感到充实，但招来的兼职很快就因为辛苦的工作日常而辞职了，美美子每天都面临着人手不足的问题。就在这时，一位青年北熏过来应聘兼职。他为什么会来咪咪应聘兼职呢？感觉隐藏着一些秘密。北熏时而帮美美子"顶着沉重的天花板”、帮她"整理架子”，默默地帮助着有爱心也很努力但却是个冒失鬼的、呆呆的美美子，二人之间的距离逐渐拉近。就在这时，面包店制作人柏木突然拿着鲜花出现，他对美美子展开了猛烈的追求。这段爱情脉络将会与烘焙店的经营错综相连。
本片为热门动画《开心汉堡店》的电影版。
贺岁轻喜剧系列IP，温暖升级，欢乐加倍。
拥有直升机紧急救援的大学附属医院迎来了一批实习医生。他们分别是蓝泽耕作（山下智久 饰）、白石惠（新垣结衣 饰）、绯山美帆子（户田绘里香 饰）和滕川一男（浅利阳介 饰）。直升机每天平均运送7到8个急救患者，能协助医生坐上直升飞机是对其应变能力和医术的证明，大家都跃跃欲试。
/strut (show off)
天下风云出我辈，一入江湖岁月催。
In 2013, investment in shrimps was 70,000 yuan, 30,000 yuan in loach, ricefield eel, snail feed, etc., 15,000 yuan in labor, 7,000 yuan in digging two ponds, 23,000 yuan in net gear and living expenses, etc., totaling 145,000 yuan. In 2013, it sold about 25,000 yuan of shrimps, miscellaneous fish and so on, and lost 120,000 yuan in 2013.
本片讲述78岁高龄老人沈家玉，刚刚过完金婚，一生过得十分安逸。可好景不长，沈家玉得知自己仅仅只剩半年时间时，才发现自己人生还留有遗憾。沈家玉为了不让自己在离开时也带着这份遗憾，便决定找到初恋情人邓文君问清当年事件的始末。当年，邓文君突然消失匿迹的事情一直不能让沈家玉释怀。而沈家玉大肆寻找初恋情人的事情被儿女得知。面对儿女的质问，沈家玉知道也没办法再隐瞒，便告诉了众人事实。陆小曼在得知沈家玉患有癌症后，觉得自己也不应该再隐瞒什么了。将当年的信交给了沈家玉，沈家玉这时才知道了所有事情真相。沈家玉在最后的时光里，实现邓文君的最后愿望。沈家玉用自己最后仅剩的时间，完成了最后一桩心愿，没有留下一丝遗憾！
Run the script to see if it has any different effects.
Mage 1.6 seconds/460-200-260 damage.
As for plant dyeing, its unique charm lies in its natural color and luster, as well as its quiet, soft and quiet temperament. Wearing it can even protect the skin.
花无缺肯定是邀月带回移花宫的那个孩子，小鱼儿肯定是燕南天带走的那个孩子。
In 2012, when Osaka Weaving House opened its first store in a shopping center in a prosperous area, it attracted many customers with its young and fashionable positioning, outstanding Japanese style and the rare form of collection stores at that time.
黄飞鸿带领徒弟们去省城发展宝芝林，因误会与当地虎鲨帮结仇，并结识了鬼脚七，收其为弟子。黄飞鸿年轻气盛，致使宝芝林陷入危难之中，后因父亲黄麒英的“假死”，黄飞鸿心智转变，刻苦习武，立誓铲除虎鲨帮。
1. As a math student, I have studied math for four years, and I don't agree with the bibliography you gave at random. First, there is no step type and it is unfriendly to beginners. Your title and the purpose of writing this series are probably for Xiaobai to see. So, may I ask, a Xiaobai needs to see the principle of mathematical analysis? ? Is it necessary to look at Princeton Calculus Principle to learn artificial intelligence? ? In my shallow understanding, the biggest difference between mathematical analysis and advanced mathematics is the same theorem. High numbers only require that they can be used. Mathematical analysis is rigorous and will definitely give proof. However, for the mathematics needed in most artificial intelligence, you need to prove the correctness and completeness of this theorem in your work? ? I'm afraid the project will be closed long ago when you prove it. You replied to me that this is only a bibliography, not a recommended bibliography, but most of the following comments decided to give up when they saw the book list. If you put these books out, it will be instructive to those who read your articles. I think you are misleading people. Second, I have roughly deduced from the number of references you have made that you may not have a framework for the mathematics of the whole artificial intelligence, otherwise there would not have been such irresponsible recommendations. However, out of respect for you, I did not question your ability. I only gave a brief recommendation in the comments on the suitable math bibliography for beginners.
