Description Usage Arguments Details Value Reference
Xception V1 model for Keras.
1 2 3 4 5  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 

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 
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.
A Keras model instance.
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