12 commits

Author	SHA1	Message	Date
nagadomi	29260ede24	fix batchwise psnr	2017-02-12 02:04:23 +09:00
nagadomi	451ee1407f	Stop calculate the instance loss when oracle_rate=0	2016-09-11 20:59:32 +09:00
nagadomi	c89fd7249a	Add learning_rate_decay	2016-06-02 10:11:15 +09:00
nagadomi	70a2849e39	Fix missing file	2016-05-30 06:48:26 +09:00
nagadomi	68a6d4cef5	Use MSE instead of PSNR ... PSNR depends on the minibatch size and those group.	2016-04-17 02:08:38 +09:00
nagadomi	a938cd5994	Reduce draw calls	2016-04-10 23:30:23 +09:00
nagadomi	1900ac7500	Use PSNR for evaluation	2016-03-12 06:53:42 +09:00
nagadomi	aaac6ed6e5	Refactor training loop ... more shuffle	2015-11-30 17:18:52 +09:00
nagadomi	b35a9ae7d7	tuning	2015-11-03 06:10:44 +09:00
nagadomi	490eb33a6b	Minimize the weighted huber loss instead of the weighted mean square error ... Huber loss is less sensitive to outliers(i.e. noise) in data than the squared error loss.	2015-10-31 22:05:59 +09:00
nagadomi	8dea362bed	sync from internal repo ... - Memory compression by snappy (lua-csnappy) - Use RGB-wise Weighted MSE(R*0.299, G*0.587, B*0.114) instead of MSE - Aggressive cropping for edge region and some change.	2015-10-26 09:23:52 +09:00
nagadomi	2231423056	update training script	2015-05-17 14:43:07 +09:00

Renamed from lib/minibatch_sgd.lua (Browse further)