tf.keras.applications.resnet50.ResNet50

Instantiates the ResNet50 architecture.

Used in the notebooks

Used in the guide

Reference:

For image classification use cases, see this page for detailed examples.

For transfer learning use cases, make sure to read the guide to transfer learning & fine-tuning.

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include_top whether to include the fully-connected layer at the top of the network.
weights one of None (random initialization), 'imagenet' (pre-training on ImageNet), or the path to the weights file to be loaded.
input_tensor optional Keras tensor (i.e. output of layers.Input()) to use as image input for the model.