diff --git a/Classification/cnns/alexnet_model.py b/Classification/cnns/alexnet_model.py
index c65ab7c..c04bb6d 100644
--- a/Classification/cnns/alexnet_model.py
+++ b/Classification/cnns/alexnet_model.py
@@ -86,11 +86,11 @@ def alexnet(images, args, need_transpose=False, training=True):
          data_format=data_format
     )
 
-    pool1 = flow.nn.avg_pool2d(conv1, 3, 2, "VALID", data_format, name="pool1")
+    pool1 = flow.nn.max_pool2d(conv1, 3, 2, "VALID", data_format, name="pool1")
 
     conv2 = conv2d_layer("conv2", pool1, filters=192, kernel_size=5, data_format=data_format)
 
-    pool2 = flow.nn.avg_pool2d(conv2, 3, 2, "VALID", data_format, name="pool2")
+    pool2 = flow.nn.max_pool2d(conv2, 3, 2, "VALID", data_format, name="pool2")
 
     conv3 = conv2d_layer("conv3", pool2, filters=384, data_format=data_format)
 
@@ -98,7 +98,7 @@ def alexnet(images, args, need_transpose=False, training=True):
 
     conv5 = conv2d_layer("conv5", conv4, filters=256, data_format=data_format)
 
-    pool5 = flow.nn.avg_pool2d(conv5, 3, 2, "VALID", data_format, name="pool5")
+    pool5 = flow.nn.max_pool2d(conv5, 3, 2, "VALID", data_format, name="pool5")
 
     if len(pool5.shape) > 2:
         pool5 = flow.reshape(pool5, shape=(pool5.shape[0], -1))