Your browser does not allow JavaScript!
JavaScript is necessary for the proper functioning of this website. Please enable JavaScript or use a modern browser.
|
|
SLO
|
ENG
|
Cookies and privacy
DKUM
EPF - Faculty of Business and Economics
FE - Faculty of Energy Technology
FERI - Faculty of Electrical Engineering and Computer Science
FF - Faculty of Arts
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
FKBV - Faculty of Agriculture and Life Sciences
FKKT - Faculty of Chemistry and Chemical Engineering
FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
FOV - Faculty of Organizational Sciences in Kranj
FS - Faculty of Mechanical Engineering
FT - Faculty of Tourism
FVV - Faculty of Criminal Justice and Security
FZV - Faculty of Health Sciences
MF - Faculty of Medicine
PEF - Faculty of Education
PF - Faculty of Law
UKM - University of Maribor Library
UM - University of Maribor
UZUM - University of Maribor Press
COBISS
Faculty of Business and Economic, Maribor
Faculty of Agriculture and Life Sciences, Maribor
Faculty of Logistics, Celje, Krško
Faculty of Organizational Sciences, Kranj
Faculty of Criminal Justice and Security, Ljubljana
Faculty of Health Sciences
Library of Technical Faculties, Maribor
Faculty of Medicine, Maribor
Miklošič Library FPNM, Maribor
Faculty of Law, Maribor
University of Maribor Library
Bigger font
|
Smaller font
Introduction
Search
Browsing
Upload document
For students
For employees
Statistics
Login
First page
>
Show document
Show document
Title:
Izdelava pogovornega robota z rekurentno nevronsko mrežo LSTM : diplomsko delo
Authors:
ID
Piko, Tomaž
(Author)
ID
Holobar, Aleš
(Mentor)
More about this mentor...
ID
Borovič, Mladen
(Comentor)
ID
Ojsteršek, Milan
(Comentor)
Files:
UN_Piko_Tomaz_2020.pdf
(1,27 MB)
MD5: D6AB9D8928D9C18BE691FE242222D270
PID:
20.500.12556/dkum/70fcbf82-06d6-4da5-99c4-baf7ba31810d
Language:
Slovenian
Work type:
Bachelor thesis/paper
Typology:
2.11 - Undergraduate Thesis
Organization:
FERI - Faculty of Electrical Engineering and Computer Science
Abstract:
V diplomskem delu so v prvem delu najprej predstavljeni pogovorni roboti in njihovi tipi, nato rekurentne nevronske mreže ter delovanje različnih celic, ki jih pri njih najpogosteje srečujemo. V drugem delu pa je prikazan primer implementacije in učenja rekurentne nevronske mreže LSTM (Long Short-Term Memory) ter izdelava mobilne aplikacije, v kateri lahko pisno komuniciramo z izdelano mrežo oziroma našim pogovornim robotom v slovenskem ali angleškem jeziku.
Keywords:
pogovorni roboti
,
rekurentne nevronske mreže
,
celica LSTM
,
obdelava naravnih jezikov
Place of publishing:
Maribor
Place of performance:
Maribor
Publisher:
[T. Piko]
Year of publishing:
2020
Number of pages:
IX, 52 f.
PID:
20.500.12556/DKUM-77606
UDC:
004.934(043.2)
COBISS.SI-ID:
38731523
NUK URN:
URN:SI:UM:DK:VVTDQHUC
Publication date in DKUM:
03.11.2020
Views:
1115
Downloads:
79
Metadata:
Categories:
KTFMB - FERI
Cite this work
Plain text
BibTeX
EndNote XML
EndNote/Refer
RIS
ABNT
ACM Ref
AMA
APA
Chicago 17th Author-Date
Harvard
IEEE
ISO 690
MLA
Vancouver
:
PIKO, Tomaž, 2020,
Izdelava pogovornega robota z rekurentno nevronsko mrežo LSTM : diplomsko delo
[online]. Bachelor’s thesis. Maribor : T. Piko. [Accessed 27 March 2025]. Retrieved from: https://dk.um.si/IzpisGradiva.php?lang=eng&id=77606
Copy citation
Average score:
0.5
1
1.5
2
2.5
3
3.5
4
4.5
5
(0 votes)
Your score:
Voting is allowed only for
logged in
users.
Share:
Similar works from our repository:
Diskretna regulacija krogle na plošči
Zbornik povzetkov študentskih projektov
Wavelets in electrochemical noise analysis
Avtomatizacija polnilne linije
Avtomatizacija kompresorske postaje
Similar works from other repositories:
Preizkuševalnik funkcij strojev
Postavitev praktičnega izobraževanja za avtomatsko vodenje
Izbira pretvornika signalov za laboratorijske potrebe
Daljinski nadzor merilnikov na akumulacijskem jezeru Kanalski vrh
Grafični uporabniški vmesniki za nadzor valjarske linije
Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.
Licences
License:
CC BY 4.0, Creative Commons Attribution 4.0 International
Link:
http://creativecommons.org/licenses/by/4.0/
Description:
This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:
07.09.2020
Secondary language
Language:
English
Title:
Chatbot implementation using a LSTM recurrent neural network
Abstract:
The first part of this diploma thesis describes chatbots and their types. We then describe recurrent neural networks and how their most frequently used types of cells work. The second part shows an example of implementing and training a recurrent neural network LSTM (Long Short-Term Memory) and developing a mobile application in which we can communicate with the created neural network and our own chatbot via text in the Slovenian or English language.
Keywords:
chatbots
,
recurrent neural networks
,
LSTM cell
,
natural language processing
Comments
Leave comment
You must
log in
to leave a comment.
Comments (0)
0 - 0 / 0
There are no comments!
Back
