2013成都财富全球论坛嘉宾、《功夫熊猫2》的导演余仁英，在论坛现场首次展示了《功夫熊猫3》中的全新人物造型：一个穿着红色中国风（类似于汉唐服饰）的母熊猫。
第六季将是神秘而阴暗的一季，而第五季的最后一个镜头——路灯闪烁，Sam遥望着痛苦的Dean给所有SPN迷留下了希望和期待。从第五季天启结束后，天堂和地狱完全跌落在混乱之中。现在，恶魔、天使和怪物在混乱的地球上游荡。离开猎魔工作并且发誓再也不干这行的迪恩又被拖回了他的往日生活——除了从地狱逃出来的萨姆还有谁能把他再拉回去。两人重新在一起打击从地狱逃出来不断增加的邪恶力量，但很快他们意识到他们不再是过去的自己，而他们的关系也回不到以前那样了。
The principle of DNS amplification attack is similar to NTP. This method mainly uses EDNS and dig characteristics of DNS server to amplify traffic.
香荽又许诺道：你先好好读书。
《浪漫老板》（又名《RomanticBoss》）是由2PM成员黄灿盛、韩国演员景收真联袂演绎。“野兽”黄灿盛将一改往日舞台上的形象，饰演一个为爱努力、为梦想拼搏的都市少年。《浪漫老板》围绕着企划家、网络漫画家、时尚设计师等各个行业的佼佼者的真挚的爱情和朝着梦想奔跑的故事而展开，讲诉了白雪熙(景收真饰)，一个在超强压力之下，会释放搞笑
In those days when I helped Wang Baichuan find a house, I was so tired that I didn't have the strength to take off my clothes and went to sleep every day, but I still gritted my teeth and got things done.
[Time of Publication] October 13, 2016
Symantec Mail Security for Microsoft Exchange (32-bit)
合理牺牲的不过是一丝所谓的面子，并未涉及现实利益，也算是唯一一丝值得安慰的事情。
Button-Pipeline Attack
NBC宣布续订由Tina Fey制片的《老妈闯入电视台》13集第二季。
青葱妈妈改编自Line Webtoon所做的同名漫画，青葱妈妈讲述一位妙龄少女变身妈咪的故事。妙龄妈咪和粑粑会发生一些什么样的故事呢？
点赞就是给我们吃饭
故事围绕大学生久住春彦(猪塚健太饰)和官能小说家木岛理生(竹财辉之助饰)展开。因为一场意外，久住春彦骑车不小心导致了木岛理生骨折，而暂无他法的久住春彦只能提议让木岛理生口述写小说。两人之间你侬我侬的纠缠情感就此上演。
The picture shows the concept of cloud manufacturing and the process from traditional manufacturing to intelligent manufacturing, to intelligent manufacturing and to today's cloud manufacturing.
蒯彻第一时间向身在河北的韩信送去书函，言辞恳切，论证充分，就是劝谏齐王直接出兵河东。
The puppy was killed and abandoned in a corner of the yard.
张家月（郑宜农饰）因为心脏不好而休学在家，爱好音乐，闲暇时和乐队排练，给唱片公司寄卡带，带着猫儿“夏天”四处游荡。资优生陈怀钧（张睿家饰）爱上了女老师徐以唯（柯奂如饰），不被学校接受，被迫休学在家，他和张家月相遇，二人产生微妙的感情。休学在家的两个人，加上张家月的好朋友郑雯莉（林涵饰），还有钟情于足球，成绩很烂的日本学生成不破朗（藤冈靓饰），聚在了一起，他们找到了一个“秘密基地”，共同分享青春、成长，面对那些猝不及防的生活真相……
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!
