{"action":"opened","issue":{"url":"https://api.github.com/repos/chlyzzo/chlyzzo.github.io/issues/32","repository_url":"https://api.github.com/repos/chlyzzo/chlyzzo.github.io","labels_url":"https://api.github.com/repos/chlyzzo/chlyzzo.github.io/issues/32/labels{/name}","comments_url":"https://api.github.com/repos/chlyzzo/chlyzzo.github.io/issues/32/comments","events_url":"https://api.github.com/repos/chlyzzo/chlyzzo.github.io/issues/32/events","html_url":"https://github.com/chlyzzo/chlyzzo.github.io/issues/32","id":329720579,"node_id":"MDU6SXNzdWUzMjk3MjA1Nzk=","number":32,"title":"ML-学习汇总笔记2 | 山上掏金","user":{"login":"chlyzzo","id":19646469,"node_id":"MDQ6VXNlcjE5NjQ2NDY5","avatar_url":"https://avatars1.githubusercontent.com/u/19646469?v=4","gravatar_id":"","url":"https://api.github.com/users/chlyzzo","html_url":"https://github.com/chlyzzo","followers_url":"https://api.github.com/users/chlyzzo/followers","following_url":"https://api.github.com/users/chlyzzo/following{/other_user}","gists_url":"https://api.github.com/users/chlyzzo/gists{/gist_id}","starred_url":"https://api.github.com/users/chlyzzo/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/chlyzzo/subscriptions","organizations_url":"https://api.github.com/users/chlyzzo/orgs","repos_url":"https://api.github.com/users/chlyzzo/repos","events_url":"https://api.github.com/users/chlyzzo/events{/privacy}","received_events_url":"https://api.github.com/users/chlyzzo/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-06T05:56:40Z","updated_at":"2018-06-06T05:56:40Z","closed_at":null,"author_association":"OWNER","body":"https://chloy.com/2015/02/20/ML-%E5%AD%A6%E4%B9%A0%E6%B1%87%E6%80%BB%E7%AC%94%E8%AE%B02/ \n\n 感知器，一个线性的判别器，能够实现简单的逻辑运算，比如与非门等；更进一步，引入偏置bias，则在实践中体现便捷；当把感知器整合成神经元，进而通过链式的网络结构，把这些神经元连接，就得到了神经网络，然而神经网络并非如此简单，需要在每个神经元上加入激活函数，不加激活函数便成为完全的线性，与线性回归一致。 在激活函数的变换下，以及网络的结构，发展出很多不同类型的神经网络方法，解决各种不同领域的问题。 感"}}
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