Procedure of instantiating a fully trained ANN from Keras or TensorFlow in order to pass compiled image data through it as input. The characteristics learned on one problem are applied to a new, similar problem. This is advantageous to research because the models have already trained a fundamental ‘understanding’ about the human world in terms of the general structure and content of images and this knowledge does not need to be taught from scratch.