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The robot Shimon composes and performs his first deep learning driven piece. A recurrent deep neural network is trained on a large database of classical and jazz music. Based on learned semantic relationships between musical units in this dataset, Shimon generates and performs a new musical piece. Developed by Mason Bretan, tHE Robotic Musicianship Group, Georgia Tech Center for Music Technology
