add a pretrained model and notes for training

example/ImageNet/Inception-BN.conf

@@ -1,7 +1,21 @@
 # Batch Normalization
 # Sergey Ioffe and Christian Szegedy
 # http:https://arxiv.org/abs/1502.03167
-
+# 
+# A pretrained model from this conf can be downloaded from http:https://goo.gl/EOskAl
+# 
+# Notes by Zhongwen Xu:
+#
+# learning rate is descreased by 10x on round 20 and round 28
+# Performance on single center crop on three stages:
+#
+# at the round 20 of lr = 0.01 val-rec@1:0.54192 val-rec@5:0.7912
+# at the round 28 or lr = 0.001 val-rec@1:0.67544 val-rec@5:0.8826
+# at the round 39, lr = 1e-4 val-rec@1:0.70454 val-rec@5:0.899
+# 
+# The performance did not match the BN paper due to much less augmentation.
+# However, this model matches GoogLeNet performance (error rate 10.07%) of single crop.
+#
 data = train
 iter = imgbin
  image_list = "imagenet/train.lst"