The architecture of the VGG19 model is as follows:

Note that the preceding architecture has more layers, as well as more parameters.

Note that the 16 and 19 in the VGG16 and VGG19 architectures stand for the number of layers in each of these networks. Once we extract the 9 x 9 x 512 output after we pass each image through the VGG19 network, that output will be the input for our model.

Additionally, the process of creating input and output datasets and then building, compiling, and fitting a model will remain the same as what we saw in the Gender classification using a VGG16 model-based architecture recipe.