Biblioteka za specifikaciju i učenje neuronskih mreža

undergraduate thesis

• Title (english): Framework for specification and learning of neural networks
• Author: Damir Numić-Meša
• Mentor: Marko Đurasević (mentor)
• Committee member: Marko Đurasević (predsjednik povjerenstva)
• Committee member: Nikolina Frid (član povjerenstva)
• Committee member: Josip Šarić (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2023-07-06, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

Neuralne mreže univerzalni su aproksimatori funkcija te stoga primjenjivi na rješavanja gotovo svakog oblika problema. U ovom završnom radu obraditi će se način na koji neuralne mreže uče, uvesti konvoluciju u pristup učenju i pokazati rezultate implementiranih algoritama na nekoliko različitih skupova podataka.

Abstract (english)

Neural networks are universal approximators and as such applicable on almost any problem. This bachelor thesis will process how neural networks learn, introduce convolution in its learning process and show results achieved by implemented algorithms on a few different datasets.

• Keywords: unazadna propagacija; unaprijedna propagacija; neuron; neuronska mreža; konvolucija; konvolucijska neuronska mreža; MNIST; CIFAR10; Adam; SGD
• Keywords (english): backpropagation; forward propagation; neuron; neural network convolution; convolutional neural network; MNIST; CIFAR10; Adam; SGD
• Language: croatian
• URN:NBN: urn:nbn:hr:168:673958
• 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: 2023-07-13 10:25:02