Thesis Details

Bayesovské a neuronové sítě

Master's Thesis Student: Hložek Bohuslav Academic Year: 2016/2017 Supervisor: Zbořil František V., doc. Ing., CSc.
English title
Bayesian and Neural Networks
Language
Czech
Abstract

This paper introduces Bayesian neural network based on Occams razor. Basic knowledge about neural networks and Bayes rule is summarized in the first part of this paper. Principles of Occams razor and Bayesian neural network are explained. A real case of use is introduced (about predicting landslide). The second part of this paper introduces how to construct Bayesian neural network in Python. Such an application is shown. Typical behaviour of Bayesian neural networks is demonstrated using example data.

Keywords

Bayesian neural networks, Artificial neural networks, Occams razor, Neuron, Overfitting, Bayes rule, TensorFlow, Edward, Keras

Department
Department of Intelligent Systems FIT BUT
Degree Programme
Information Technology, Field of Study Intelligent Systems
Files
Status
defended, grade C
Date
22 June 2017
Reviewer
Rozman Jaroslav, Ing., Ph.D.
Committee
Zbořil František V., doc. Ing., CSc. (DITS FIT BUT), předseda
Hrubý Martin, Ing., Ph.D. (DITS FIT BUT), člen
Janoušek Vladimír, doc. Ing., Ph.D. (DITS FIT BUT), člen
Jaroš Jiří, doc. Ing., Ph.D. (DCSY FIT BUT), člen
Matyska Luděk, prof. RNDr., CSc. (FI MUNI), člen
Peringer Petr, Dr. Ing. (DITS FIT BUT), člen
Citation
HLOŽEK, Bohuslav. Bayesovské a neuronové sítě. Brno, 2017. Master's Thesis. Brno University of Technology, Faculty of Information Technology. 2017-06-22. Supervised by Zbořil František V.. Available from: https://www.fit.vut.cz/study/thesis/7526/
BibTeX 
@mastersthesis{FITMT7526,
    author = "Bohuslav Hlo\v{z}ek",
    type = "Master's thesis",
    title = "Bayesovsk\'{e} a neuronov\'{e} s\'{i}t\v{e}",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2017,
    location = "Brno, CZ",
    language = "czech",
    url = "https://www.fit.vut.cz/study/thesis/7526/"
}

Theses

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