Change keras to tensorflow.keras in added examples
diff --git a/tensorflow/python/keras/applications/densenet.py b/tensorflow/python/keras/applications/densenet.py
index e7d095d..73ecff1 100644
--- a/tensorflow/python/keras/applications/densenet.py
+++ b/tensorflow/python/keras/applications/densenet.py
@@ -397,7 +397,7 @@
Optionally loads weights pre-trained on ImageNet.
Note that the data format convention used by the model is
the one specified in your Keras config at `~/.keras/keras.json`.
-
+
Arguments:
include_top: whether to include the fully-connected
layer at the top of the network.
@@ -433,9 +433,9 @@
```python
#Extract image features with DenseNet121
- from keras.applications.densenet import DenseNet121
- from keras.preprocessing import image
- from keras.applications.densenet import preprocess_input
+ from tensorflow.keras.applications.densenet import DenseNet121
+ from tensorflow.keras.preprocessing import image
+ from tensorflow.keras.applications.densenet import preprocess_input
import numpy as np
#create a DenseNet121 model pre-trained on imagenet
diff --git a/tensorflow/python/keras/applications/vgg16.py b/tensorflow/python/keras/applications/vgg16.py
index bb06bb1..e0a913e 100644
--- a/tensorflow/python/keras/applications/vgg16.py
+++ b/tensorflow/python/keras/applications/vgg16.py
@@ -102,9 +102,9 @@
```python
#Extract image features with VGG16
- from keras.applications.vgg16 import VGG16
- from keras.preprocessing import image
- from keras.applications.vgg16 import preprocess_input
+ from tensorflow.keras.applications.vgg16 import VGG16
+ from tensorflow.keras.preprocessing import image
+ from tensorflow.keras.applications.vgg16 import preprocess_input
import numpy as np
#create a VGG16 model pre-trained on imagenet
