improving-neural-networks-by-preventing-co-adaptation-of-feature-detectors-2020-007Geoffrey E. Hinton, Nitish Srivastava, Alex Krizhevsky, Ilya Sutskever, Ruslan R. Salakhutdinov2020This record links to the dropout paper, which explains how randomly omitting feature detectors during training can reduce overfitting. It is suitable for testing undergraduate AI project metadata, concise abstracts, and direct external PDF linking.https://inrepscholar.com/projects/946