{"doi":"10.1145/3065386","title":"ImageNet classification with deep convolutional neural networks","abstract":"<jats:p>We trained a large, deep convolutional neural network to classify the 1.2 million high-resolution images in the ImageNet LSVRC-2010 contest into the 1000 different classes. On the test data, we achieved top-1 and top-5 error rates of 37.5% and 17.0%, respectively, which is considerably better than the previous state-of-the-art. The neural network, which has 60 million parameters and 650,000 neurons, consists of five convolutional layers, some of which are followed by max-pooling layers, and three fully connected layers with a final 1000-way softmax. To make training faster, we used non-saturating neurons and a very efficient GPU implementation of the convolution operation. To reduce overfitting in the fully connected layers we employed a recently developed regularization method called \"dropout\" that proved to be very effective. We also entered a variant of this model in the ILSVRC-2012 competition and achieved a winning top-5 test error rate of 15.3%, compared to 26.2% achieved by the second-best entry.</jats:p>","journal":"Communications of the ACM","year":2017,"id":12460,"datarank":28.701547572920514,"base_score":11.234176704733272,"endowment":11.234176704733272,"self_citation_contribution":1.6851265057099911,"citation_network_contribution":27.016421067210523,"self_endowment_contribution":1.6851265057099911,"citer_contribution":27.016421067210523,"corpus_percentile":99.7,"corpus_rank":121,"citation_count":75672,"citer_count":198,"citers_with_citation_signal":198,"citers_with_endowment":198,"datacite_reuse_total":0,"is_dataset":false,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2017-05-24","authors":[{"id":58454,"name":"Ilya Sutskever","orcid":null,"position":1,"is_corresponding":false},{"id":16946,"name":"Geoffrey E. Hinton","orcid":null,"position":2,"is_corresponding":false},{"id":98146,"name":"Alex Krizhevsky","orcid":null,"position":0,"is_corresponding":true}],"reference_count":32,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}