diff --git a/tftrt/examples/image-classification/image_classification.py b/tftrt/examples/image-classification/image_classification.py
index a02a0f059..6fdc6a2ad 100644
--- a/tftrt/examples/image-classification/image_classification.py
+++ b/tftrt/examples/image-classification/image_classification.py
@@ -202,16 +202,16 @@ def get_netdef(model):
 
         'resnet_v1_50': NetDef(
             name='resnet_v1_50',
-            url='http://download.tensorflow.org/models/official/20180601_resnet_v1_imagenet_checkpoint.tar.gz',
-            model_dir_in_archive='20180601_resnet_v1_imagenet_checkpoint',
+            url='http://download.tensorflow.org/models/official/20181001_resnet/checkpoints/resnet_imagenet_v1_fp32_20181001.tar.gz',
+            model_dir_in_archive='resnet_imagenet_v1_fp32_20181001',
             slim=False,
             preprocess='vgg',
             model_fn=official.resnet.imagenet_main.ImagenetModel(resnet_size=50, resnet_version=1)),
 
         'resnet_v2_50': NetDef(
             name='resnet_v2_50',
-            url='http://download.tensorflow.org/models/official/20180601_resnet_v2_imagenet_checkpoint.tar.gz',
-            model_dir_in_archive='20180601_resnet_v2_imagenet_checkpoint',
+            url='http://download.tensorflow.org/models/official/20181001_resnet/checkpoints/resnet_imagenet_v2_fp32_20181001.tar.gz',
+            model_dir_in_archive='resnet_imagenet_v2_fp32_20181001',
             slim=False,
             preprocess='vgg',
             model_fn=official.resnet.imagenet_main.ImagenetModel(resnet_size=50, resnet_version=2)),
@@ -398,7 +398,17 @@ def find_checkpoint_in_dir(model_dir):
     checkpoint_path = '.'.join(parts[:ckpt_index+1])
     return checkpoint_path
 
+
 def download_checkpoint(model, destination_path):
+    #copy files from source to destination (without any directories)
+    def copy_files(source, destination):
+        try:
+            shutil.copy2(source, destination)
+        except OSError as e:
+            pass
+        except shutil.Error as e:
+            pass
+
     # Make directories if they don't exist.
     if not os.path.exists(destination_path):
         os.makedirs(destination_path)
@@ -416,7 +426,7 @@ def download_checkpoint(model, destination_path):
                                     get_netdef(model).model_dir_in_archive,
                                     '*')
         for f in glob.glob(source_files):
-            shutil.copy2(f, destination_path)
+            copy_files(f, destination_path)
 
 def get_frozen_graph(
     model,