First of all, we still define the methods of Hero constructor and Hero object prototype. In these prototype methods of Hero object, we are no longer responsible for the specific execution logic, but transfer the operation to the intermediary object, which is responsible for doing specific things. We can name the intermediary object playerDirector;.
主人公朱相旭在电视剧中也继电影《热血刑事变身》出道以来最拥有透彻的角色,炫耀强大的魅力。《TEN》中朱相旭在刑事出身的前任大学教授中,为了解决事件美帝特别制作的余地的组长TEN球队本部作用勋吴承河。令人畏惧,并且理论冷静理性的性质的调查队国内顶尖投手之一的人物。
100,000 Yuan Zhang Dongqing [Investigation] Hongte Precision's 100-fold Increase: Group Loan Network and Mysterious Funds Behind It (Has Been Off Line)
OVA动画《天上天下 ULTIMATE FIGHT》于2005年3月16日推出，全2话。
由约瑟夫·摩根主演的悬疑恐怖电视剧《初代吸血鬼第4季》。
卡特里娜是一位单身母亲，她带着年幼的女儿克拉拉横穿全国，准备开始新的生活。但是他们的车却在一个渺无人烟的地方抛锚。在卡特里娜更换轮胎时，克拉拉从沙漠公路上走远，并被一条有毒的响尾蛇咬伤。急于挽救女儿生命的卡特里娜接受了一位神秘女子的帮助。这名女子奇迹般治愈了克拉拉，但却要求卡特里娜去杀掉一个陌生人作为抵偿。为避免女儿在日落时再次身陷险境，卡特里娜必须尽快解决一个道德难题：谁应当活下来，谁又该死去？
If a citizen's whereabouts have been unknown for four years, or for two years due to an accident, or if the relevant authorities prove that the citizen cannot survive due to an accident, and the interested parties apply for declaration of his death, they shall submit the application to the basic people's court in the place where the missing person is domiciled.
城市女孩Nid Narisara是一个独立自尊的姑娘，父亲的离世让她不得不找份工作养活自己。经过朋友介绍，她来到了Poochit的农场应聘。Poo是个做事严谨、自律古板又无趣的农场主，因为Nid漂亮的外表就质疑她的工作能力，留下她也只是以为Nid是弟弟的女朋友。但很快，精明能干的Nid将农场打理得井井有条，农场员工都很喜欢这位新经理。只有对她带有偏见的Poo常常会没事找事，争执不断。渐渐地，两人在长期的相处中发现了彼此的闪光点，原本单纯的上下属关系开始变得复杂暧昧起来。在一场火灾中，Nid勇敢地救了Poo的妹妹自己却不幸受伤后，Poo终于向她表白并求婚。Nid的哥哥回到曼谷，得知一切想要接回Nid......因爱相系的两人，是否会因为当初的誓言，跨过阻隔走到一起呢？
The first kind of poisoning attack is called model skew. Attackers try to pollute training data to move the learning boundary of classifier classification for good and bad inputs. For example, model skew can be used to try to pollute training data and deceive classifiers to mark specific malicious binaries as benign.
SimpleEventPlugin.extractEvent
美丽而贤惠的单亲妈妈于建平接到了法院的传票，数不清是第几次为六岁女儿娟子的抚养费而将离婚已久的丈夫姜军诉诸法庭。听到姜军不交抚养费的消息，建平的弟弟，热情而冲动的建伟奔上门去，准备教训一下姜军，却不想竟被姜军教训了。姜军是个典型的无赖，穷困潦倒，为人猥琐，不但不交抚养费，反而倚仗被建伟打出的鼻血而讹诈建伟一笔。气疯的建伟无计可施，结果是建平青梅竹马的恋人兼邻居——达子——拿出钱来，悄悄解决了姜军的讹诈和娟子的生活费问题。达子是个孝子，母亲说的话从不敢违抗。当年母亲嫌弃建平家庭困难，达子奉母命与建平分平，娶了老婆金铃。金铃美貌而伶俐，早与达子貌合神离，在外找了新的男朋友，两人终于在结婚六年后平静离婚。达子若干年来一直觉得对不起建平，离婚后想和建平结婚，这两个人历尽周折，终于在恩恩怨怨之后走到了一起。
福州捕头苏剑名奉命来到青山镇办理贩卖假酒一案，巧遇青山镇老大柳轻舟，俩人不打不相识，并被苏剑名识破整个青山镇乃是假酒大本营，苏剑名正欲惩治这起窝案，不料青山镇竟被一帮倭寇重重围堵，来势汹汹的倭寇并未抢劫直接大开杀戒。原来，锦衣卫千户孙百安从倭寇手中盗取一份朝中人士的通倭名单，只身藏于青山镇内，倭寇追杀至此要屠镇捉人，别无选择的苏剑名决定带领只会制酒的镇民们共同抗敌，双方实力悬殊，等待他们的将是未知的命运
Deep Learning: There is a translated version in Chinese, but I don't really want to put it here, because this book is actually very theoretical. Some chapters are really good, and some places you will think, what is this? What's the use of this thing? Will turn the novice around. Everyone will buy a town venue first, look through what they don't understand, Google what they don't understand, read papers directly, read good blogs summarized by others, and so on. In short, as long as you can understand what you don't understand.
阴云密布的本能町，在神秘恐怖的本能字学园，高高在上的学生会长鬼龙院皋月（柚木凉香 配音）只手遮天，她通过“极制服”统领校内的学生，极制服由所佩戴的星星数量分级，级别越高拥有的战斗力就越强。这一天，一个背着单片太刀剪的女孩出现在本能字学园门口。她叫缠流子（小清水亚美 配音 ），为了调查杀害父亲的真正凶手而来到这个凶险的所在。谁知她刚刚到来不久，便遭到蟇郡苛（稻田彻 配音）、猿投山渦（桧山修之 配音）等学生会四天王的阻击。
就在爱丽丝准备上去说话时，忽见杨蓉左脚轻轻朝地面一踩，青石地面顿时龟裂开来，犹如蜘蛛网延伸一般。
Category division is specified through the Coding Matrix. There are many forms of coding matrix, the common ones are binary code and ternary code. The former specifies each class as a positive class and an inverse class respectively, while the latter can specify "disabled class" in addition to the positive and inverse classes. FIG. 3.5 shows a schematic diagram. In FIG. 3.5 (a), classifier f2 takes samples of Cl and C3 as positive examples and samples of C2 and C4 as counterexamples. In FIG. 3.5 (B), classifier f4 takes the samples of C1 and C4 as positive examples and the samples of C3 as counterexamples. In the decoding stage, the prediction results of each classifier are combined to form the code of the test example. The code is compared with the corresponding codes of various types, and the category corresponding to the code with the smallest distance is taken as the prediction result. For example, in Figure 3.5 (a), if based on the European distance, the prediction result will be C3.
In reality, we often encounter multi-classification learning tasks. Some two-classification learning methods can be directly extended to multi-classification, but in more cases, we use two-classification learners to solve multi-classification problems based on some basic strategies. Therefore, the fundamental method of multi-classification problem is still the two-classification problem.
