3 commits

Author	SHA1	Message	Date
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)