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这部剧是08年下半年冒出来好得出人意外的爆笑小喜剧。本来作者想拍个电视剧，但找不到真人演出，又找不到动画师帮他画，于是就自己摸索著用动画软体做了个短片，然后拿去参展，竟然被HBO看上，就此搬上萤幕，成为继Flight of the Conchords后，HBO又一最新喜剧杰作。本剧围绕主人公TIM的工作生活展开，讲述了这个囧男每天被同事调侃，被女友折腾，被朋友涮锅的种种窘事。整集25分钟的动画，虽说没有笑的前仰后合，不过一直是让人欲笑还抑之的状态。虽然画面很简单，甚至可以用简陋来形容，不过精彩诙谐的对白完全弥补了画面的缺憾，甚至使原本简单的画面更透出一股灵气。更加值得一提的是，本剧的配音演员口齿清晰，发音纯正，语速虽然快，不过用词简单，是难得的学习口语的优秀教材。不过先提一下，毕竟是成人动画，所以有些段子还是有点颜色的，不要把它想象成PG或者是G级别的动画。20世纪70年代，一场大火把本来温馨的一家人拆散，警察蒋定邦认为妻儿已葬身火海，于是伤心前往英国。二十年后，回到香港的定邦在许多场合认识了香港上流社会的大亨齐乔正。但定邦觉得此人并非善类。一次杀人事件，被告人乔正的儿子齐浩南被告上了法庭。而这时，定邦才突然发现乔正的妻子正是自己以为已死去的前妻，而浩南就是自己的儿子！浩南视乔正为偶像，明知此事是乔正所为还是替他入狱。而另一方面，和乔正颇有渊源的石常春的女儿——石伊明从英国归来，数次邂逅了浩南。亲情与爱情、正义与邪恶在浩南的心中交织徘徊，二代人的恩怨情仇能否在浩南这代化解呢？女演员田净植因为一场车祸，阴差阳错的苏醒了基因突变人薛灵乔，二人经历磨难，消除彼此的误解，陷入爱情。为了让田净植过上平凡的生活，薛灵乔选择离开。不久后，田净植怀孕，薛灵乔担心田净植母子的安危，秘密住在田净植家隔壁。田净植偶遇云臻，二人志趣相投。云臻向“准妈妈”田净植展开了强烈的追求攻势。以秋月白为首的“S组织”得知田净植怀了薛灵乔的孩子，以小舅的身份留在田净植身边，实则利用田净植母子为组织谋利。与此同时，田净植身体出现排异反应，而城中的女性失踪案屡次发生。为了保护心爱的人，更加为了避免殃及无辜，薛灵乔再次卷入这场基因突变人引起的风波中，设法解除危机。事件解决之后，田净植肚中的宝宝顺利出生，一家三口幸福的生活在一起。Deep Learning with Python: Although this is another English book, it is actually very simple and easy to read. When I worked for one year before, I wrote a summary (the "original" required bibliography for data analysis/data mining/machine learning) and also recommended this book. In fact, this book is mainly a collection of demo examples. It was written by Keras and has no depth. It is mainly to eliminate your fear of difficulties in deep learning. You can start to do it and make some macro display of what the whole can do. It can be said that this book is Demo's favorite!原本相看两生厌、互不信任不会武功的文治皇帝和舞刀弄枪的武将皇后因意外互换了身体，不得不接受现实的两人，在扮演对方身份的过程中，解开了误会，学会了爱与信任。结发为夫妻，恩爱两不疑。Q: How do you determine the cross-validation method and the final submission model?Cloud manufacturing provides a brand-new concept and mode for manufacturing informatization. As a nascent concept, cloud manufacturing has huge development space in the future. However, the future development of cloud manufacturing still faces many key technology challenges. In addition to the comprehensive integration of cloud computing, Internet of Things, Semantic Web, high-performance computing, embedded systems and other technologies, knowledge-based technologies such as cloud-based manufacturing resources, manufacturing cloud management engine, cloud manufacturing application collaboration, cloud manufacturing visualization and user interface are all important technologies to be overcome in the future.