Tumen, VedatSoylemez, Omer FarukErgen, Burhan2024-04-242024-04-242017978-1-5386-1880-6https://hdl.handle.net/11468/209022017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYNowadays, deep learning is a technique that takes place in many computer vision related applications and studies. While it is put in the practice mostly on content based image retrieval, there is still room for improvement by employing it in diverse computer vision applications. In this study, we aimed to build a Convolutional Neural Network (CNN) based Facial Expression Recognition System (FER), in order to automatically classify expressions presented in Facial Expression Recognition (FER2013) database. Our presented CNN achieved % 57.1 success rate on FER2013 database.trinfo:eu-repo/semantics/closedAccessDeep LearningFacial Expression RecognitionImage ClassificationConvolution Neural NetworksConference ObjectWOS:0004268687001212-s2.0-85039912842N/AN/A