Semin Park

Rebased on top of master, and made the number of characters to type before labelling configurable. The default value is still 1 just because I think that's the base case...

> I think there will be many more "jump modes" in the future, other than WORD an N-CHAR, and the suggested keybinding is not fast enough for most people. Personally...

Oh and I think it's worth mentioning that the current m-char search algorithm is brute force. It iterates all indices within the current view and tries to match the m-char...

https://www.reddit.com/r/MachineLearning/comments/67gonq/d_batch_normalization_before_or_after_relu/ I'm also curious about this. Could someone try both and report the performances?

This is only a problem if you're using Python < 3.6 3.6 onwards, insertion order is maintained for the default dictionary as well. https://stackoverflow.com/questions/1867861/how-to-keep-keys-values-in-same-order-as-declared But still I do agree that...

Hoping for the same thing here!