diff --git a/python/mxnet/visualization.py b/python/mxnet/visualization.py
index 8c4cc3b920d7..47b712c872c3 100644
--- a/python/mxnet/visualization.py
+++ b/python/mxnet/visualization.py
@@ -134,20 +134,24 @@ def print_layer_summary(node, out_shape):
                             pre_filter = pre_filter + int(shape[0])
         cur_param = 0
         if op == 'Convolution':
-            if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]):
-                cur_param = pre_filter * int(node["attrs"]["num_filter"])
+            if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True':
+                num_group = int(node['attrs'].get('num_group', '1'))
+                cur_param = pre_filter * int(node["attrs"]["num_filter"]) \
+                   // num_group
                 for k in _str2tuple(node["attrs"]["kernel"]):
                     cur_param *= int(k)
             else:
-                cur_param = pre_filter * int(node["attrs"]["num_filter"])
+                num_group = int(node['attrs'].get('num_group', '1'))
+                cur_param = pre_filter * int(node["attrs"]["num_filter"]) \
+                   // num_group
                 for k in _str2tuple(node["attrs"]["kernel"]):
                     cur_param *= int(k)
                 cur_param += int(node["attrs"]["num_filter"])
         elif op == 'FullyConnected':
-            if ("no_bias" in node["attrs"]) and int(node["attrs"]["no_bias"]):
-                cur_param = pre_filter * (int(node["attrs"]["num_hidden"]))
+            if "no_bias" in node["attrs"] and node["attrs"]["no_bias"] == 'True':
+                cur_param = pre_filter * int(node["attrs"]["num_hidden"])
             else:
-                cur_param = (pre_filter+1) * (int(node["attrs"]["num_hidden"]))
+                cur_param = (pre_filter+1) * int(node["attrs"]["num_hidden"])
         elif op == 'BatchNorm':
             key = node["name"] + "_output"
             if show_shape: