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15 commits

Author SHA1 Message Date
e22316a4c9 move losses into Model and refactor methods 2017-09-16 17:05:25 +00:00
058a779f6c remove some unused arguments 2017-08-05 10:39:32 +00:00
9138f73141 update mnist training
crank up the learning rate on emnist and use momentum with gradient clipping.
add a simple restart callback.
remove batch size adapation crap.
remove confidence measures.
2017-08-03 03:36:46 +00:00
6933e21e0e update mnist example 2017-07-23 04:23:57 +00:00
928850c2a8 lower process priority 2017-07-11 12:44:26 +00:00
9f8ac737db update mnist network 2017-07-11 12:11:47 +00:00
e145f0422f more YellowFin bullshit
i give up on this optimizer. its design is flawed.
2017-07-11 11:22:36 +00:00
85c9b3b5c1 finish(?) implementing YellowFin 2017-07-03 09:48:22 +00:00
6a3f047ddc rename alpha to lr where applicable 2017-07-02 05:39:51 +00:00
9706aaabbb add WIP YellowFin optimizer implementation 2017-07-02 02:55:19 +00:00
d8bf6d1c5b easier logging of losses etc. 2017-07-02 02:53:31 +00:00
1b1184480a allow optimizers to adjust their own learning rate 2017-07-02 02:52:07 +00:00
7da93e93a8 move graph printing into Model class 2017-07-01 02:17:46 +00:00
c02fba01e2 various
use updated filenames.
don't use emnist by default.
tweak expando integer handling.
add some comments.
2017-06-26 00:16:51 +00:00
a770444199 shorten names 2017-06-25 22:08:07 +00:00
Renamed from optim_nn_mnist.py (Browse further)