HyperXception: HyperXception

View source: R/HyperResNet_HyperXception.R

HyperXceptionR Documentation

HyperXception

Description

An Xception HyperModel.

Usage

HyperXception(
  include_top = TRUE,
  input_shape = NULL,
  input_tensor = NULL,
  classes = NULL,
  ...
)

Arguments

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.

Value

a pre-trained Xception model


kerastuneR documentation built on May 29, 2024, 6:45 a.m.