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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 ~董得起，绰号“董古董”开了一家“梦古斋”古玩店，但他对古玩玉器的鉴识却一知半解。他花高价收购的“慈禧棺盖”、“袁大头”和号称金沙遗址出土的“玉璋”，都被古玩鉴赏家确认是假货，诅咒发誓不再做古董生意。一个乞丐婆婆向他乞讨，他惊奇地发现婆婆手中的土巴碗竟然是宋代钧窑莲花碗，毫不犹豫买下发了大财。他听说玉石生意赚钱，在瑞丽买下一大块石头，谁知又上当受骗。两美国古生物学家发现石头上有珍稀的“三叶虫”古化石，用五万美金买走了那块没解出玉来的石头，董古董绝处逢生。汶川大地震摔坏了店里的古玩玉器，他又成了穷光蛋，而在一只大花瓶里，发现了二十万元人民币和一些美金，董古董知道花瓶的来历，明白这是一笔不义之财，当即把这笔钱捐赠给了灾区，此举感动所有商家，大家踊跃捐款捐物，古玩市场上演了感人的画面林乐庭和夏婉汐离婚后，林乐庭带着双胞胎妹妹林初心独自生活，夏婉汐带着双胞胎姐姐夏清嫁入豪门。长大以后，双胞胎姐妹无意相见，两人不断互换身份，解决了彼此家庭，工作，爱情，学业中的各种问题，也为彼此制造了更大的危机。暑期一所政法大学内，未通过英美法课程期末考试的学生迎来补考。他们组成模拟西方法庭，分别担任法官、律师、检察官等角色，审理的正是一桩社会上饱受争议的“20岁富二代弑父”案。12位学生家长组成了陪审团。这些人来自社会不同阶层，有医生、房地产商、保安、教授、保险推销员等。他们在听取学生法庭审理后，将对本案做出最终“判决”。From the defender's point of view, this type of attack has proved (so far) to be very problematic, because we do not have effective methods to defend against this type of attack. Fundamentally speaking, we do not have an effective way for DNN to produce good output for all inputs. It is very difficult for them to do so, because DNN performs nonlinear/nonconvex optimization in a very large space, and we have not taught them to learn generalized high-level representations. You can read Ian and Nicolas's in-depth articles (http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attaching-machine-learning-is-easier-than-defending-it.html) to learn more about this.我跟你说，小孩子好好玩的……声音渐低，终至不闻，只剩红烛摇曳，烛泪流淌……二院，张大栓还在跟村里的一帮老兄弟喝酒。