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Results tagged with generative-adversarial-networks
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user 31016
For questions related to generative adversarial networks (GANs), introduced in the paper Generative Adversarial Nets (2014) by J. Goodfellow et al. A GAN is composed of a discriminative model (D) and a generative model (G). The discriminator D needs to distinguish between data generated by the generator G and data in the training set, while the generator G needs to generate data such that the discriminator D is not able to accomplish its task.
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Is there any network/paper used to analyse music scores?
I have not come across music labeling algorithms but upon a google scholar search, I found a couple of papers that aim to do quite the same task.
In general, if you have a labeled dataset then you can …
