prikaz prve stranice dokumenta Model dubokog učenja za klasifikaciju MIDI datoteka
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master's thesis
Model dubokog učenja za klasifikaciju MIDI datoteka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:251682
Rod, Bartol
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Rod, B. (2024). Model dubokog učenja za klasifikaciju MIDI datoteka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:251682

Rod, Bartol. "Model dubokog učenja za klasifikaciju MIDI datoteka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:251682

Rod, Bartol. "Model dubokog učenja za klasifikaciju MIDI datoteka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:251682

Rod, B. (2024). 'Model dubokog učenja za klasifikaciju MIDI datoteka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 18 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:251682

Rod B. Model dubokog učenja za klasifikaciju MIDI datoteka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 18] Available at: https://urn.nsk.hr/urn:nbn:hr:168:251682

B. Rod, "Model dubokog učenja za klasifikaciju MIDI datoteka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:251682

Metadata
TitleModel dubokog učenja za klasifikaciju MIDI datoteka
Title (english)A deep learning model for MIDI file classification
AuthorBartol Rod
MentorStjepan Šebek (mentor)
Committee memberStjepan Šebek (predsjednik povjerenstva)
Committee memberStjepan Begušić (član povjerenstva)
Committee memberMate Puljiz (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-03, Croatia
Abstract
Klasifikacija MIDI datoteki težak je zadatak zbog njihove složenosti. Problem se prvo pokušava riješiti algoritmima strojnog učenja kao što su stroj potpornih vektora, takozvanim plitkim modelima. Zatim se MIDI datoteke tokeniziraju i klasificiraju povratnim neuronskim mrežama. Dana je usporedba oba pristupa i pokazano je kako duboki modeli bolje rješavaju problem klasifikacije MIDI datoteki.
Abstract (english)
Classification of MIDI files is a difficult task due to their complexity. The problem is first attempted to be solved using machine learning algorithms such as support vector machines, so-called shallow models. Then, the MIDI files are tokenized and classified using recurrent neural networks. A comparison of both approaches is given, and it is shown that deep models better solve the problem of classifying MIDI files.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:251682
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-10-12 22:00:50