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.
»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.
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