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Understanding Internal Semantics Of Deep Learning Models For Electronic Music
2017
Zenodo
Since deep learning showed outstanding performance in the computer vision field, Music Information Retrieval (MIR) researchers also started to adopt these successful models in their research area. Unfortunately, a number of publications are still simply applying deep learning algorithms to any new problems or dataset without understanding their models. For sophisticated model design process, interpreting the architecture and the mechanism of hidden layers became more important, and it resulted
doi:10.5281/zenodo.1100967
fatcat:fewtmbdobbepdbslgt2phdie5y