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master's thesis
Pokretanje radnog okvira TensorFlow na platformi Apache Spark
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. urn:nbn:hr:168:031869
Herceg, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Herceg, F. (2021). Pokretanje radnog okvira TensorFlow na platformi Apache Spark (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:031869

Herceg, Filip. "Pokretanje radnog okvira TensorFlow na platformi Apache Spark." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:031869

Herceg, Filip. "Pokretanje radnog okvira TensorFlow na platformi Apache Spark." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:031869

Herceg, F. (2021). 'Pokretanje radnog okvira TensorFlow na platformi Apache Spark', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 27 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:031869

Herceg F. Pokretanje radnog okvira TensorFlow na platformi Apache Spark [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 December 27] Available at: https://urn.nsk.hr/urn:nbn:hr:168:031869

F. Herceg, "Pokretanje radnog okvira TensorFlow na platformi Apache Spark", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:031869

Metadata
TitlePokretanje radnog okvira TensorFlow na platformi Apache Spark
Title (english)Running TensorFlow on Apache Spark
AuthorFilip Herceg
MentorKrešimir Pripužić (mentor)
Committee memberKrešimir Pripužić (predsjednik povjerenstva)
Committee memberMartina Antonić (član povjerenstva)
Committee memberPavle Skočir (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-09, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad opisuje što je to radni okvir TensorFlow i različite mogućnosti pokretanja aplikacija napisanih u radnom okviru TensorFlow. Rad opisuje što su to neuronske mreže i kako se treniraju pomoću radnog okvira TensorFlow. Opisana je i važnost predobrade podataka kako bi rezultati strojnog učenja bili što uspješniji te preporuke kako obraditi različite tipove podataka. U radu je opisana platforma Apache Spark i načini pokretanja platforme Apache Spark kao i aplikacija napisanih za platformu Apache Spark. Rad također opisuje kako pokrenuti aplikacije napisane u radnom okviru TensorFlow na platformi Apache Spark koristeći radni okvir TensorFlowOnSpark kako bi se postiglo raspodijeljeno treniranje modela strojnog učenja i uspoređuje uspješnost i vrijeme treniranja modela u odnosu na centralizirano treniranje korištenjem jednog procesora i korištenjem jedne grafičke kartice. Na kraju rada su opisana moguća poboljšanja pokretanja radnog okvira TensorFlow na platformi Apache Spark.
Abstract (english)
The thesis describes what is TensorFlow framework and ways of running TensorFlow applications, describes neural networks and how to train them using TensorFlow framework, the importance of data preprocessing and how to preprocess different types of data, what is Apache Spark platform and different ways of running the platform and it’s applications. Thesis also describes how to run TensorFlow applications on the Apache Spark platform using TensorFlowOnSpark framework to achieve distributed machine learning and compares training success and time of distributed machine learning against centralised learning using CPU and GPU learning. At the end thesis describes a couple of possible improvements for better distributed machine learning.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:031869
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 on2023-01-13 15:04:19