tf.keras.applications.vgg16.VGG16

Instantiates the VGG16 model.

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.

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 to be (224, 224, 3) (with channels_last data format) or (3, 224, 224) (with channels_first data format). It should have exactly 3 input channels, and width and height should be no smaller than 32. E.g. (200, 200, 3) would be one valid value.
pooling Optional pooling mode f