# HG changeset patch # User SylvainPL # Date 1274919939 14400 # Node ID 78ed4628071d8b225099f8dfe3eed3e5930cdb73 # Parent 66b05c6077c765654e03861c70fb4c4bf8f5b487 Rajout de la ligne qui compte le nombre de mini-batch (enleve precedemment) diff -r 66b05c6077c7 -r 78ed4628071d deep/stacked_dae/v_sylvain/sgd_optimization.py --- a/deep/stacked_dae/v_sylvain/sgd_optimization.py Wed May 26 20:24:16 2010 -0400 +++ b/deep/stacked_dae/v_sylvain/sgd_optimization.py Wed May 26 20:25:39 2010 -0400 @@ -416,6 +416,7 @@ train_score2 = numpy.mean(train_losses2) print 'On the ' + name + 'dataset' print(('\t the error is %f')%(train_score2*100.)) + #print len(train_losses2) stderr = math.sqrt(train_score2-train_score2**2)/math.sqrt(len(train_losses2)*self.hp.minibatch_size) print (('\t the stderr is %f')%(stderr*100.))