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tf.keras.applications.InceptionV3

Instantiates the Inception v3 architecture.

tf.keras.applications.InceptionV3(
    include_top=True, weights='imagenet', input_tensor=None,
    input_shape=None, pooling=None, classes=1000,
    classifier_activation='softmax'
)

Reference:

Optionally loads weights pre-trained on ImageNet. Note that the data format convention used by the model is the one specified in the tf.keras.backend.image_data_format().

Note: each Keras Application expects a specific kind of input preprocessing. For InceptionV3, call tf.keras.applications.inception_v3.preprocess_input on your inputs before passing them to the model.
Arguments
include_top Boolean, whether to include the fully-connected layer at the top, as the last layer of the network. Default to True.
weights One of None (random initialization), imagenet (pre-training on ImageNet), or the path to the weights file to be loaded. Default to imagenet.
input_tensor Optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model. input_tensor is useful for sharing inputs between multiple different networks. Default to None.
input_shape Optional shape tuple, only to be specified if include_top is False (otherwise the input shape has to be (299, 299, 3) (with channels_last data format) or (3, 299, 299) (with channels_first data format). It should have exactly 3 inputs channels, and width and height should be no smaller than 75. E.g. (150, 150, 3) would be one valid value. input_shape will be ignored if the input_tensor is provided.
pooling Optional pooling mode for feature extraction when include_top is False.
  • None (default) means that the output of the model will be the 4D tensor output of the last convolutional block.
  • avg means that global average pooling will be applied to the output of the last convolutional block, 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. Default to 1000.
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.
Returns
A keras.Model instance.
Raises
ValueError in case of invalid argument for weights, or invalid input shape.
ValueError if classifier_activation is not softmax or None when using a pretrained top layer.

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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/InceptionV3