{"id":"W2095705004","doi":"","title":"Dropout: a simple way to prevent neural networks from overfitting","year":2014,"lang":"en","type":"article","venue":"","topic":"Machine Learning and Data Classification","field":"Computer Science","cited_by":34279,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Overfitting; Dropout (neural networks); Computer science; Artificial intelligence; Artificial neural network; Machine learning; Benchmark (surveying); Deep neural networks; Regularization (linguistics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null}