diff --git a/src/symbols/fresnet.py b/src/symbols/fresnet.py
index af4ee2e..c089201 100644
--- a/src/symbols/fresnet.py
+++ b/src/symbols/fresnet.py
@@ -484,13 +484,23 @@ def resnet(units, num_stages, filter_list, num_classes, bottle_neck, **kwargs):
       if fc_type=='A':
         fc1 = flat
       else:
-        #B
-        fc1 = mx.sym.FullyConnected(data=flat, num_hidden=num_classes, name='pre_fc1')
-        if fc_type=='C':
-          fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
-        elif fc_type=='D':
-          fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
-          fc1 = Act(data=fc1, act_type='relu', name='fc1_relu')
+        if fc_type=='G' or fc_type=='H':
+          fc1 = mx.symbol.Dropout(data=flat, p=0.2)
+          fc1 = mx.sym.FullyConnected(data=fc1, num_hidden=num_classes, name='pre_fc1')
+          if fc_type=='G':
+            return fc1
+          else:
+            fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
+            return fc1
+        else:
+          #B-D
+          #B
+          fc1 = mx.sym.FullyConnected(data=flat, num_hidden=num_classes, name='pre_fc1')
+          if fc_type=='C':
+            fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
+          elif fc_type=='D':
+            fc1 = mx.sym.BatchNorm(data=fc1, fix_gamma=True, eps=2e-5, momentum=bn_mom, name='fc1')
+            fc1 = Act(data=fc1, act_type='relu', name='fc1_relu')
     return fc1
 
 def get_symbol(num_classes, num_layers, **kwargs):