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Published 20 hours ago • verified publisher icon tensorflow

Parameter sweep?

Open dbolser opened this issue 6 years ago • 1 comments

I know there are a lot of parameters to play with, but not too many to try a rough 'sweep' of all settings... I'm curious to try to categorise the results into working and non-working (converging and non-converging) to try to get some intuition about what works well in which situations.

Have you done this?

dbolser avatar Jun 13 '18 09:06 dbolser

Dear @dbolser, by reading your issue it seems that you may appreciate the fork we've been working on !

https://coolearning.github.io/playground/

The Coolearning interface allows interactive sweeping of the parameters by using MIDI user interface during training, and much more ! Like individual learning rate, activation functions and regularization for each neuron...

See you there :)

emmanuelrouxfr avatar May 05 '22 16:05 emmanuelrouxfr