代码拉取完成，页面将自动刷新
同步操作将从 陈轩大魔王/Neuroevolution_T-rex 强制同步，此操作会覆盖自 Fork 仓库以来所做的任何修改，且无法恢复！！！
确定后同步将在后台操作，完成时将刷新页面，请耐心等待。
用神经网络来训练个能自己玩chrome断线时的那个小恐龙的AI
游戏本体叫“t-rex-runner”，源码来自这里https://github.com/wayou/t-rex-runner。
下称“小恐龙游戏”。
主要实现这些“智能”的类库来自于 Neuroevolution.js ，这个文件来自于https://github.com/xviniette/FlappyLearning。
至于为什么可以这么“智能”的话我就不知道了，反正我看不懂源码，只知道怎么输入数据给AI和获得AI的数据。 那是看了上面像素鸟的代码才GET到的。
看 index.js 你就会明白，我循环创建了几个iframe，一个iframe一个小恐龙游戏。 对每一个iframe进行操作，把小恐龙游戏的数据传递给AI，再把AI判断的结果换成操作并让小恐龙跳起来。
如何保存：当所有小恐龙游戏结束的时候，就会把神经网络结构保存进localStorage中，名为“Neuroevolution_T-rex”。
如何加载：页面刷新的时候（摁F5），就会把localStorage中getItem("Neuroevolution_T-rex")，如果有内容，就加载进当前的神经网络中。
下面是一段曾经跑出8000多高分的AI，想试试的话，在所有小恐龙游戏结束之前，就把下面的数组直接stringify后塞进localStorage中吧，然后刷新页面。
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