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tf.keras.applications.EfficientNetB3

Instantiates the EfficientNetB3 architecture.

tf.keras.applications.EfficientNetB3(
    include_top=True, weights='imagenet', input_tensor=None,
    input_shape=None, pooling=None, classes=1000,
    classifier_activation='softmax', **kwargs
)

Reference:

Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one specified in your Keras config at ~/.keras/keras.json. If you have never configured it, it defaults to "channels_last".

Arguments
include_top Whether to include the fully-connected layer at the top of the network. Defaults to True.
weights One of None (random initialization), 'imagenet' (pre-training on ImageNet), or the path to the weights file to be loaded. Defaults to 'imagenet'.
input_tensor Optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model.
input_shape Optional shape tuple, only to be specified if include_top is False. It should have exactly 3 inputs channels.
pooling Optional pooling mode for feature extraction when include_top is False. Defaults to None.
  • None means that the output of the model will be the 4D tensor output of the last convolutional layer.
  • avg means that global average pooling will be applied to the output of the last convolutional layer, and thus the output of the model will be a 2D tensor.
  • max means that global max pooling will be applied.
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. Defaults to 1000 (number of ImageNet classes).
classifier_activation A str or callable. The activation function to use on the "top" layer. Ignored unless include_top=True. Set classifier_activation=None to return the logits of the "top" layer. Defaults to 'softmax'.
Returns
A keras.Model instance.

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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/keras/applications/EfficientNetB3