Sustav za automatsko generiranje glazbe

undergraduate thesis

• Title (english): System for Automatic Music Generation
• Author: Mirko Bartol
• Mentor: Zoran Kalafatić (mentor)
• Committee member: Zoran Kalafatić (predsjednik povjerenstva)
• Committee member: Petra Bevandić (član povjerenstva)
• Committee member: Adrian Satja Kurdija (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2018-07-13, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Korištenje umjetne neuronske mreže za redukciju dimenzionalnosti i pripremu podataka
za LSTM mrežu koja kasnije generira glazbu. U ovom radu su objašnjene
umjetne neuronske mreže te poseban naglasak na redukciju dimenzionalnosti podataka.

Abstract (english)

Use of artificial neural networks to reduce dimensionality and prepare data for the
LSTM network that later generates music. In this work artificial neural networks are
explained with special emphasis on the reduction of data dimensionality.

• Keywords: strojno učenje; umjetne neuronske mreže; umjetna inteligencija; redukcija dimenzionalnosti
• Keywords (english): machine learning; artificial neural networks; artificial intelligence; dimensionality reduction
• Language: croatian
• URN:NBN: urn:nbn:hr:168:956358
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2019-03-13 18:53:36