Exploring AI in the cultural heritage sector

#artificialintelligence 

AI terminology can be complex, so let's clear up some definitions. While reading our posts you might see terms like'machine learning', 'deep learning', 'models' or'training'. Machine learning vs deep learning is a common area of confusion for those not familiar with AI techniques. Machine learning consists of a set of algorithms which automatically learn from data. Deep learning is a type of machine learning that excels in solving problems with high dimensionality (where the number of features is much greater than the number of observations). Deep learning uses a family of models inspired by the structure and functioning of the brain (artificial neural networks) that effectively learn to extract relevant features from the data.

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