{"action":"created","issue":{"url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/1","repository_url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow","labels_url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/1/labels{/name}","comments_url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/1/comments","events_url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/1/events","html_url":"https://github.com/hardmaru/resnet-cppn-gan-tensorflow/issues/1","id":188884451,"number":1,"title":"Not an issue, just a question","user":{"login":"menglin0320","id":14263971,"avatar_url":"https://avatars.githubusercontent.com/u/14263971?v=3","gravatar_id":"","url":"https://api.github.com/users/menglin0320","html_url":"https://github.com/menglin0320","followers_url":"https://api.github.com/users/menglin0320/followers","following_url":"https://api.github.com/users/menglin0320/following{/other_user}","gists_url":"https://api.github.com/users/menglin0320/gists{/gist_id}","starred_url":"https://api.github.com/users/menglin0320/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/menglin0320/subscriptions","organizations_url":"https://api.github.com/users/menglin0320/orgs","repos_url":"https://api.github.com/users/menglin0320/repos","events_url":"https://api.github.com/users/menglin0320/events{/privacy}","received_events_url":"https://api.github.com/users/menglin0320/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-11-12T01:38:38Z","updated_at":"2016-11-12T02:45:28Z","closed_at":null,"body":"tf.clip_by_global_norm(tf.gradients(self.d_loss_real, self.d_vars), self.grad_clip)\\\r\nwhy you use clip_by_global_norm, what do you want to avoid.\r\n\r\nI changed your code to make a special version of adversarial autoencoder, but the reconstru_mean uderflows, do you have any suggestion for solving the problem"},"comment":{"url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/comments/260096927","html_url":"https://github.com/hardmaru/resnet-cppn-gan-tensorflow/issues/1#issuecomment-260096927","issue_url":"https://api.github.com/repos/hardmaru/resnet-cppn-gan-tensorflow/issues/1","id":260096927,"user":{"login":"menglin0320","id":14263971,"avatar_url":"https://avatars.githubusercontent.com/u/14263971?v=3","gravatar_id":"","url":"https://api.github.com/users/menglin0320","html_url":"https://github.com/menglin0320","followers_url":"https://api.github.com/users/menglin0320/followers","following_url":"https://api.github.com/users/menglin0320/following{/other_user}","gists_url":"https://api.github.com/users/menglin0320/gists{/gist_id}","starred_url":"https://api.github.com/users/menglin0320/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/menglin0320/subscriptions","organizations_url":"https://api.github.com/users/menglin0320/orgs","repos_url":"https://api.github.com/users/menglin0320/repos","events_url":"https://api.github.com/users/menglin0320/events{/privacy}","received_events_url":"https://api.github.com/users/menglin0320/received_events","type":"User","site_admin":false},"created_at":"2016-11-12T02:45:28Z","updated_at":"2016-11-12T02:45:28Z","body":"Sorry, my bad.\r\nYou said you look at the variational autoencoder written by Jan Hendrik Metzen.\r\nx_reconstr_mean is the reconstructed image by variational autoencoder. And you are right, mean becoming a NaN. I used tensorboard to draw the min of the reconstructed image, it decreases rapidly and eventually underflows. \r\nDo you have any advise for how you avoid it. I didn't read your generator function because I only want to write an encoder that combines vae and gan"}}
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