HyperResNet

• Original Link : https://keras.io/api/keras_tuner/hypermodels/hyper_resnet/
• Last Checked at : 2024-11-25

source

HyperResNet class

keras_tuner.applications.HyperResNet(
    include_top=True, input_shape=None, input_tensor=None, classes=None, **kwargs
)

A ResNet hypermodel.

Models built by HyperResNet 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

• include_top: Boolean, whether to include the fully-connected layer at the top of the network.
• 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.
• **kwargs: Additional keyword arguments that apply to all hypermodels. See keras_tuner.HyperModel.