View source: R/HyperResNet_HyperXception.R
HyperXception | R Documentation |
An Xception HyperModel.
HyperXception(
include_top = TRUE,
input_shape = NULL,
input_tensor = NULL,
classes = NULL,
...
)
include_top |
whether to include the fully-connected layer at the top of the network. |
input_shape |
Optional shape list, e.g. '(256, 256, 3)'. One of 'input_shape' or 'input_tensor' must be specified. |
input_tensor |
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. |
classes |
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
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