在线免费视频

If we don't have a Computer class, then CPU, Memory and Disk will hold instances and generate relationships with each other, which will cause serious dependence. Modifying one class may bring about modifications to other classes. This is not what we want to see. With the Computer class, the relationship between them will be placed in the Computer class, thus playing a decoupling role. This is the appearance mode!这张二姑娘至今未嫁，就是这个缘故了，其实很多人上门求亲的。In order to breed offspring, the giant konjac can be called "by hook or by crook". It even has a dexterous system to fool insects and let them meet all their needs. Giant taro can quickly emit a smell of carrion to attract flies. Accidentally, flies enter a carefully designed secret room. The giant taro captures it with its huge flowers. The two rows of thick long hair and smooth outer wall make it impossible for insects to find an exit. At this time, the pistil also secretes a liquid that sticks to the flies. By the morning of the next day, it is time for the stamens to appear. It will make the flies covered with pollen. When it is finished, the long hairs on the flowers will shrink back and let the flies leave. Soon after, "unrepentant" flies will patronize another giant taro, and everything will happen again. At this time, when the "detained" fly licks the stigma of the pistil, the pollen it had previously stuck to the body will smoothly fall on the pistil of the flower, and the pollination task will be completed.距今二十年前，以采矿业为主的诺瓦斯科提亚小镇发生一起严重的瓦斯爆炸事故，在矿洞中的工人几乎悉数丧生。事故是由于负责人离开岗位参加情人节舞会，以至于无人监管所引起的。一年后，惨剧中的唯一生还者哈里•沃登对矿上的负责人大开杀戒，他随后被强制送往精神病院。但在离开时哈里留下诅咒，小镇从此不可再举行情人节舞会。马蹄飞奔，车轱辘飞快地转动，泥水飞溅。在神奈川县藤泽市能看到大海的城市里，与父母分离独自生活，高中2年级的日比野渚（17）。喜欢冲浪的渚，一边在江之岛的旅馆打工洗澡，一边憧憬在自己家经营冲浪店的熊切雄作，频繁地出入店铺。有一天，井川迅（17岁）利用春假从名古屋单身赴任，与来他家玩的井川迅（17岁）相遇。一起享受冲浪，积累青春的宝贵时间，两人的友情渐渐加深了。在这样的情况下，熊切家的独生女千歌（18岁）开始对比自己小一岁的渚抱有恋慕之心。是告白还是迷茫的千歌。高中生淡淡的恋爱故事。出乎意料……最初只认为是朋友的渚，在迅心中萌生了与友情不同的感情。那，不仅仅是迅，渚也同样···。二人终于意识到“友情”是“恋爱”。发现了「同性恋」的自己对自信的不安和困惑。然后、纠纷。一边踌躇，不久成为二人的好的理解者的千歌。清爽舒适的感动的青春电视剧开始。Information Theory: I forget which publishing house it was. It is a very thin book and it is very good. There is a good talk about the measurement of information, the understanding of entropy and the Markov process (there is no such thing in the company now, I'll go back and find it and make it up). Mastering this knowledge, it is good for you to understand the cross entropy and relative entropy, which look similar but easy to confuse. At least you know why many machine learning algorithms like to use cross entropy as cost function ~