Sistem za spremljanje in analizo eksperimentov v strojnem učenju

diplomsko delo

Tine Črnugelj (Author), Luka Čehovin (Mentor)

Abstract

Diplomska naloga opisuje razvoj spletnega sistema za upravljanje in analiziranje eksperimentov strojnega učenja. Sistem omogoča deljenje eksperimentov v eno ali več opravil z medsebojnimi odvisnostmi, primerjanje in prikazovanje rezultatov. Za razliko od obstoječih sistemov in storitev je v predstavljenem sistemu poudarek na centralizirani organizaciji in upravljanju eksperimetnov, ki je ločena od izvajanja eksperimentov, ki ni predmet te naloge. Jedro sistema je REST vmesnik, namenjen tako komunikaciji z uporabniškim vmesnikom kot z delavci, ki eksperimente izvajajo.

Keywords

globoko učenje;REST;uporabniški vmesnik;univerzitetni študij;diplomske naloge;

Data

Language:	Slovenian
Year of publishing:	2022
Typology:	2.11 - Undergraduate Thesis
Organization:	UL FRI - Faculty of Computer and Information Science
Publisher:	[T. Črnugelj]
UDC:	004.9:004.8(043.2)
COBISS:	123832067
Views:	19
Downloads:	9
Average score:	0 (0 votes)
Metadata:

Other data

Secondary language:	English
Secondary title:	A system for tracking and analyzing machine learning experiments
Secondary abstract:	The thesis describes the development of a web-based system for managing and analyzing machine learning experiments. The system allows dividing experiments in one or more tasks with mutual dependencies, comparing and displaying the results. Unlike existing systems and services, the presented system emphasizes the centralized organization and management of experiments, which is separate from the execution of experiments, which is not the subject of this thesis. The core of the system is a REST interface, intended for both communication with the user interface and with the workers performing the experiments.
Secondary keywords:	web application;machine learning;deep learning;REST;user interface;computer science;diploma;Spletne aplikacije;Strojno učenje;Računalništvo;Univerzitetna in visokošolska dela;
Type (COBISS):	Bachelor thesis/paper
Study programme:	1000468
Embargo end date (OpenAIRE):	1970-01-01
Thesis comment:	Univ. v Ljubljani, Fak. za računalništvo in informatiko
Pages:	40 str.
ID:	16479247