Sync up with keras-applications
@@ -212,7 +212,7 @@ Xception V1 model, with weights pre-trained on ImageNet.
On ImageNet, this model gets to a top-1 validation accuracy of 0.790
and a top-5 validation accuracy of 0.945.
-Note that this model only supports the data format `'channels_last'` (height, width, channels).
+This model and can be built both with `'channels_first'` data format (channels, height, width) or `'channels_last'` data format (height, width, channels).
The default input size for this model is 299x299.
@@ -555,7 +555,7 @@ keras.applications.mobilenet.MobileNet(input_shape=None, alpha=1.0, depth_multip
MobileNet model, with weights pre-trained on ImageNet.
-Note that this model only supports the data format `'channels_last'` (height, width, channels).
+This model and can be built both with `'channels_first'` data format (channels, height, width) or `'channels_last'` data format (height, width, channels).
The default input size for this model is 224x224.
@@ -747,7 +747,7 @@ keras.applications.mobilenet_v2.MobileNetV2(input_shape=None, alpha=1.0, include
MobileNetV2 model, with weights pre-trained on ImageNet.
-Note that this model only supports the data format `'channels_last'` (height, width, channels).
+This model and can be built both with `'channels_first'` data format (channels, height, width) or `'channels_last'` data format (height, width, channels).
The default input size for this model is 224x224.
