An Xception HyperModel.
HyperXception(
include_top = TRUE,
input_shape = NULL,
input_tensor = NULL,
classes = NULL,
...
)
whether to include the fully-connected layer at the top of the network.
Optional shape list, e.g. `(256, 256, 3)`. One of `input_shape` or `input_tensor` must be specified.
Optional Keras tensor (i.e. output of `layers.Input()`) to use as image input for the model. One of `input_shape` or `input_tensor` must be specified.
optional number of classes to classify images into, only to be specified if `include_top` is TRUE, and if no `weights` argument is specified. **kwargs: Additional keyword arguments that apply to all HyperModels. See `kerastuner.HyperModel`.
Additional keyword arguments that apply to all HyperModels.
a pre-trained Xception model