Xception V1 model for Keras.
application_xception(include_top = TRUE, weights = "imagenet", input_tensor = NULL, input_shape = NULL, pooling = NULL, classes = 1000) xception_preprocess_input(x)
include_top  whether to include the fullyconnected layer at the top of the network. 

weights  one of 
input_tensor  optional Keras tensor to use as image input for the model. 
input_shape  optional shape list, only to be specified if 
pooling  Optional pooling mode for feature extraction when

classes  optional number of classes to classify images into, only to be
specified if 
x  Input tensor for preprocessing 
A Keras model instance.
On ImageNet, this model gets to a top1 validation accuracy of 0.790 and a top5 validation accuracy of 0.945.
Do note that the input image format for this model is different than for the VGG16 and ResNet models (299x299 instead of 224x224).
The xception_preprocess_input()
function should be used for image
preprocessing.
This application is only available when using the TensorFlow backend.