{"action":"created","comment":{"url":"https://api.github.com/repos/fchollet/keras/pulls/comments/79226536","id":79226536,"diff_hunk":"@@ -178,7 +197,9 @@ def get_config(self):\n                   'b_constraint': self.b_constraint.get_config() if self.b_constraint else None,\n                   'bias': self.bias,\n                   'input_dim': self.input_dim,\n-                  'input_length': self.input_length}\n+                  'input_length': self.input_length,\n+                  'W_learning_rate_multiplier': self.W_learning_rate_multiplier if self.W_learning_rate_multiplier else None,","path":"keras/layers/convolutional.py","position":55,"original_position":55,"commit_id":"09e2979eac21b28d670d26c0d257cfd33bab72c5","original_commit_id":"09e2979eac21b28d670d26c0d257cfd33bab72c5","user":{"login":"AvantiShri","id":2302598,"avatar_url":"https://avatars.githubusercontent.com/u/2302598?v=3","gravatar_id":"","url":"https://api.github.com/users/AvantiShri","html_url":"https://github.com/AvantiShri","followers_url":"https://api.github.com/users/AvantiShri/followers","following_url":"https://api.github.com/users/AvantiShri/following{/other_user}","gists_url":"https://api.github.com/users/AvantiShri/gists{/gist_id}","starred_url":"https://api.github.com/users/AvantiShri/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/AvantiShri/subscriptions","organizations_url":"https://api.github.com/users/AvantiShri/orgs","repos_url":"https://api.github.com/users/AvantiShri/repos","events_url":"https://api.github.com/users/AvantiShri/events{/privacy}","received_events_url":"https://api.github.com/users/AvantiShri/received_events","type":"User","site_admin":false},"body":"Hi Javier, Avanti here. I'm merging your adaptation of our code back into the kundajelab fork - thanks again for doing this. I had a minor thought: is the ifelse in this line really necessary, since self.W_learning_rate_multiplier is either None or a value (i.e. wouldn't it be equivalent to \"'W_learning_rate_multiplier': self.W_learning_rate_multiplier\")?","created_at":"2016-09-16T18:33:46Z","updated_at":"2016-09-16T18:33:46Z","html_url":"https://github.com/fchollet/keras/pull/3004#discussion_r79226536","pull_request_url":"https://api.github.com/repos/fchollet/keras/pulls/3004","_links":{"self":{"href":"https://api.github.com/repos/fchollet/keras/pulls/comments/79226536"},"html":{"href":"https://github.com/fchollet/keras/pull/3004#discussion_r79226536"},"pull_request":{"href":"https://api.github.com/repos/fchollet/keras/pulls/3004"}}},"pull_request":{"url":"https://api.github.com/repos/fchollet/keras/pulls/3004","id":74218394,"html_url":"https://github.com/fchollet/keras/pull/3004","diff_url":"https://github.com/fchollet/keras/pull/3004.diff","patch_url":"https://github.com/fchollet/keras/pull/3004.patch","issue_url":"https://api.github.com/repos/fchollet/keras/issues/3004","number":3004,"state":"open","locked":false,"title":"Learning rate multipliers for convolutional and dense layers","user":{"login":"jrhupc","id":12407673,"avatar_url":"https://avatars.githubusercontent.com/u/12407673?v=3","gravatar_id":"","url":"https://api.github.com/users/jrhupc","html_url":"https://github.com/jrhupc","followers_url":"https://api.github.com/users/jrhupc/followers","following_url":"https://api.github.com/users/jrhupc/following{/other_user}","gists_url":"https://api.github.com/users/jrhupc/gists{/gist_id}","starred_url":"https://api.github.com/users/jrhupc/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/jrhupc/subscriptions","organizations_url":"https://api.github.com/users/jrhupc/orgs","repos_url":"https://api.github.com/users/jrhupc/repos","events_url":"https://api.github.com/users/jrhupc/events{/privacy}","received_events_url":"https://api.github.com/users/jrhupc/received_events","type":"User","site_admin":false},"body":"I have updated the pull request #1991 to the latest master branch. The pull request adds functionality to provide learning rate multipliers for convolutional and dense layers (see issue #414). 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