{"action":"opened","issue":{"url":"https://api.github.com/repos/mljs/feedforward-neural-networks/issues/6","repository_url":"https://api.github.com/repos/mljs/feedforward-neural-networks","labels_url":"https://api.github.com/repos/mljs/feedforward-neural-networks/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/mljs/feedforward-neural-networks/issues/6/comments","events_url":"https://api.github.com/repos/mljs/feedforward-neural-networks/issues/6/events","html_url":"https://github.com/mljs/feedforward-neural-networks/issues/6","id":192992763,"number":6,"title":"Refactoring to allow more activation functions","user":{"login":"zafarali","id":6295292,"avatar_url":"https://avatars.githubusercontent.com/u/6295292?v=3","gravatar_id":"","url":"https://api.github.com/users/zafarali","html_url":"https://github.com/zafarali","followers_url":"https://api.github.com/users/zafarali/followers","following_url":"https://api.github.com/users/zafarali/following{/other_user}","gists_url":"https://api.github.com/users/zafarali/gists{/gist_id}","starred_url":"https://api.github.com/users/zafarali/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zafarali/subscriptions","organizations_url":"https://api.github.com/users/zafarali/orgs","repos_url":"https://api.github.com/users/zafarali/repos","events_url":"https://api.github.com/users/zafarali/events{/privacy}","received_events_url":"https://api.github.com/users/zafarali/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-12-01T23:32:38Z","updated_at":"2016-12-01T23:32:38Z","closed_at":null,"body":"Currently, the way the code is structured, you can only use activation functions whose derivatives have the function in it (eg `sigmoid`/`tanh`)\r\n\r\nIn #5 I have added `RELU` and `LeakyRELU` but this is as much as we can do as other activation functions need the actual value itself:\r\n\r\nhttps://en.wikipedia.org/wiki/Activation_function \r\n\r\nSo I think that the code might need to be restructured quite a bit to allow this. Opinions?"}}
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