{"action":"opened","issue":{"url":"https://api.github.com/repos/alexjc/neural-enhance/issues/31","repository_url":"https://api.github.com/repos/alexjc/neural-enhance","labels_url":"https://api.github.com/repos/alexjc/neural-enhance/issues/31/labels{/name}","comments_url":"https://api.github.com/repos/alexjc/neural-enhance/issues/31/comments","events_url":"https://api.github.com/repos/alexjc/neural-enhance/issues/31/events","html_url":"https://github.com/alexjc/neural-enhance/issues/31","id":186369717,"number":31,"title":"adversarial loss could be negative?","user":{"login":"yifita","id":8813291,"avatar_url":"https://avatars.githubusercontent.com/u/8813291?v=3","gravatar_id":"","url":"https://api.github.com/users/yifita","html_url":"https://github.com/yifita","followers_url":"https://api.github.com/users/yifita/followers","following_url":"https://api.github.com/users/yifita/following{/other_user}","gists_url":"https://api.github.com/users/yifita/gists{/gist_id}","starred_url":"https://api.github.com/users/yifita/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/yifita/subscriptions","organizations_url":"https://api.github.com/users/yifita/orgs","repos_url":"https://api.github.com/users/yifita/repos","events_url":"https://api.github.com/users/yifita/events{/privacy}","received_events_url":"https://api.github.com/users/yifita/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2016-10-31T19:06:11Z","updated_at":"2016-10-31T19:06:11Z","closed_at":null,"body":"Thanks for sharing your code!\r\nI'm wondering, you used `softplus` and `x-softplus` for adversarial losses, what is the theoretical reason for this?\r\nEspecially, since you are feeding discriminators' output as x without softmax normalization, this could initially yield a negative loss?\r\nFor example:\r\nin generator: `1-softplus(G(seed))` < 0 for large disc_out \r\nsame in discriminator: `G(seed)-softplus(G(seed))` is always negative\r\n"}}
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