Facial emotion recognition with machine learning

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dc.contributor.advisorSütő, József
dc.contributor.authorAbedi, Saeid
dc.contributor.departmentDE--Informatikai Karhu_HU
dc.date.accessioned2021-04-23T07:49:37Z
dc.date.available2021-04-23T07:49:37Z
dc.date.created2021-04-20
dc.description.abstractThis work is describing the fundamentals of machine learning and artificial neural networks. It introduces the functionality of different layers in a conventional neural network and different approaches to machine learning. With the help of conventional neural networks, a program is created where a model will be trained on a neural network to detect 5 facial emotions in a real-time video camera. It uses python programming language with powerful libraries like Keras and TensorFlow. This work aims to show the new technologies like transfer learning that can help to achieve better performance and accuracy.hu_HU
dc.description.courseComputer science Engineeringhu_HU
dc.description.degreeBSc/BAhu_HU
dc.format.extent43hu_HU
dc.identifier.urihttp://hdl.handle.net/2437/307017
dc.language.isoenhu_HU
dc.subjectMachine learninghu_HU
dc.subjectFacial emotion recognitionhu_HU
dc.subjectDeep learninghu_HU
dc.subject.dspaceDEENK Témalista::Informatikahu_HU
dc.titleFacial emotion recognition with machine learninghu_HU
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