Instantiates the ResNet50 architecture.

Used in the notebooks

Used in the guide


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.

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.