machine learning in art
Machine learning in art refers to the use of computational algorithms and models to enable computers to analyze, interpret, and generate artistic content, such as images, music, and text. It involves training machines to learn patterns and features from large datasets and apply them creatively to produce art or assist artists in their creative process.
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