Dropout: a simple way to prevent neural networks from overfitting
Dropout: a simple way to prevent neural networks from overfitting is one of 9,000 studies in the ScholarPulse dataset. Key details — Authors: Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov; Year: 2014; Field: Machine Learning and Data Classification.
| Authors | Nitish Srivastava, Geoffrey E. Hinton, Alex Krizhevsky, Ilya Sutskever, Ruslan Salakhutdinov |
|---|---|
| Year | 2014 |
| Field | Machine Learning and Data Classification |
| Times cited | 34275 |
| Type | article |
| DOI / link | https://openalex.org/W2095705004 |