AI and pop music: Can simple probabilities outperform deep learning?
Haebichan Jung tells us that he built an original pop music-making machine “that could rival deep learning but with simpler solutions.” Deep learning “is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.” (Jason Brownlee, Machine Learning Mastery) Jung tells us that he went to considerable trouble to develop deep learning methods for generating machine pop music but in the end… I made a simple probabilistic model that generates pop music… Eric Holloway notes that this is an expected outcome based on the fact that computers cannot generate mutual information, where two variables are dependent on each other. Can simple probabilities outperform deep learning?” at Mind Matters Today Read More ›