ESA Data Ontology: ESADO: GENERATIVE ADVERSARIAL NETWORKS

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GENERATIVE ADVERSARIAL NETWORKS

A type of unsupervised learning that involves automatically discovering and learning the regularities or patterns in input data in such a way that the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset. (en)

2022-07-25 15:48:42.0 [tstevens] Insert Concept add broader relation (GENERATIVE ADVERSARIAL NETWORKS [ca705489-8d18-470c-8c95-1c5ecfc902b6,996699] - DEEP LEARNING [543135bc-7749-49ca-89af-b108cac1afaa,996698]);
2022-07-26 08:16:43.0 [tstevens] insert Definition (id: null text: A type of unsupervised learning that involves automatically discovering and learning the regularities or patterns in input data in such a way that the model can be used to generate or output new examples that plausibly could have been drawn from the original dataset. language code: en);
2022-07-27 12:31:41.0 [tstevens] update Definition (Encyclopedia of Machine Learning and Data Science: https://doi.org/10.1007/978-1-4899-7502-7);

https://gcmd.earthdata.nasa.gov/kms/concept/ca705489-8d18-470c-8c95-1c5ecfc902b6

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ESA Data Ontology