Instantiates the VGG19 architecture.

Used in the notebooks

Used in the guide Used in the tutorials


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.

The default input size for this model is 224x224.

include_top whether to include the 3 fully-connected layers 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.
input_shape optional shape tuple, only to be specified if include_top is False (otherwise the input shape has