diff --git a/tensorflow/python/keras/backend.py b/tensorflow/python/keras/backend.py
index 11c855aa070..6dc31a42a84 100644
--- a/tensorflow/python/keras/backend.py
+++ b/tensorflow/python/keras/backend.py
@@ -2610,9 +2610,11 @@ def resize_images(x, height_factor, width_factor, data_format,
   if data_format == 'channels_first':
     x = permute_dimensions(x, [0, 2, 3, 1])
   if interpolation == 'nearest':
-    x = image_ops.resize_nearest_neighbor(x, new_shape)
+    x = image_ops.resize_images_v2(
+        x, new_shape, method=image_ops.ResizeMethod.NEAREST_NEIGHBOR)
   elif interpolation == 'bilinear':
-    x = image_ops.resize_bilinear(x, new_shape)
+    x = image_ops.resize_images_v2(x, new_shape,
+                                   method=image_ops.ResizeMethod.BILINEAR)
   else:
     raise ValueError('interpolation should be one '
                      'of "nearest" or "bilinear".')
diff --git a/tensorflow/python/ops/image_ops_impl.py b/tensorflow/python/ops/image_ops_impl.py
index c6e11edb347..f1164d5adbd 100644
--- a/tensorflow/python/ops/image_ops_impl.py
+++ b/tensorflow/python/ops/image_ops_impl.py
@@ -1209,7 +1209,7 @@ def resize_images_v2(images,
   `tf.image.resize_with_pad`.
 
   When 'antialias' is true, the sampling filter will anti-alias the input image
-  as well as interpolate.   When downsampling an image with [anti-aliasing](
+  as well as interpolate.  When downsampling an image with [anti-aliasing](
   https://en.wikipedia.org/wiki/Spatial_anti-aliasing) the sampling filter
   kernel is scaled in order to properly anti-alias the input image signal.
   'antialias' has no effect when upsampling an image.