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diff --git a/tensorflow/python/keras/applications/applications_test.py b/tensorflow/python/keras/applications/applications_test.py
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+++ b/tensorflow/python/keras/applications/applications_test.py
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+# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ==============================================================================
+"""Integration tests for Keras applications."""
+
+from __future__ import absolute_import
+from __future__ import division
+from __future__ import print_function
+
+from absl.testing import parameterized
+
+from tensorflow.python.keras import applications
+from tensorflow.python.platform import test
+
+
+MODEL_LIST = [
+    (applications.ResNet50, 2048),
+    (applications.VGG16, 512),
+    (applications.VGG19, 512),
+    (applications.Xception, 2048),
+    (applications.InceptionV3, 2048),
+    (applications.InceptionResNetV2, 1536),
+    (applications.MobileNet, 1024),
+    # TODO(fchollet): enable MobileNetV2 in next version.
+    (applications.DenseNet121, 1024),
+    (applications.DenseNet169, 1664),
+    (applications.DenseNet201, 1920),
+    (applications.NASNetMobile, 1056),
+    (applications.NASNetLarge, 4032),
+]
+
+
+class ApplicationsTest(test.TestCase, parameterized.TestCase):
+
+  @parameterized.parameters(*MODEL_LIST)
+  def test_classification_model(self, model_fn, _):
+    model = model_fn(classes=1000, weights=None)
+    self.assertEqual(model.output_shape[-1], 1000)
+
+  @parameterized.parameters(*MODEL_LIST)
+  def test_feature_extration_model(self, model_fn, output_dim):
+    model = model_fn(include_top=False, weights=None)
+    self.assertEqual(model.output_shape, (None, None, None, output_dim))
+
+
+if __name__ == '__main__':
+  test.main()