► Keras 3 API documentation / KerasTuner / HyperModels / HyperEfficientNet

HyperEfficientNet

[source]

HyperEfficientNet class

keras_tuner.applications.HyperEfficientNet(
    input_shape=None, input_tensor=None, classes=None, augmentation_model=None, **kwargs
)

An EfficientNet hypermodel.

Models built by HyperEfficientNet take images with shape (height, width, channels) as input. The output are one-hot encoded with the length matching the number of classes specified by the classes argument.

Arguments

  • input_shape: Optional shape tuple, 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.
  • augmentation_model: Optional Model or HyperModel instance for image augmentation.
  • **kwargs: Additional keyword arguments that apply to all hypermodels. See keras_tuner.HyperModel.
HyperEfficientNet
HyperEfficientNet class