Jan 19, 2020   4:49 p.m. Drahomíra, Mário, Sára
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Ing. Peter Kapec, PhD.
Identification number: 10235
University e-mail: peter.kapec [at] stuba.sk
Odborný asistent CSc.,PhD. - Institute of Computer Engineering and Applied Informatics (FIIT)

Contacts     Graduate     Lesson     Final thesis     
Further information     Supervised theses     Conferences     

Basic information

Basic information about a final thesis

Type of thesis: Bachelor thesis
Thesis title:Visualization of Neural Networks
Written by (author): Bc. Jakub Bista
Department: Institute of Computer Engineering and Applied Informatics (FIIT)
Thesis supervisor: Ing. Peter Kapec, PhD.
Opponent:Ing. Lukáš Hudec
Final thesis progress:Final thesis was successfully defended.

Additional information

Additional information about the final thesis follows. Click on the language link to display the information in the desired language.

Language of final thesis:Slovak

Slovak        English

Title of the thesis:Visualization of Neural Networks
Summary:This bachelor’s thesis deals with theme of visualization of neural networks, which are important tool in field of deep learning. Neural networks are complex computing models consisting of high number of individual layers and neurons. Right because of their complexity and huge size it is very difficult to design these models correctly, or to specify where has mistake occurred in the training process. In this thesis we try to create tool, which can help people working with neural networks with designing new models and which can make the process of debugging simpler. Solution designed by us works with neural networks, which are able to recognize images. Our solution deals with visualization of propagation of input layer throught individual layers of neural network and visualization of activations on individual layers of neural network. Besides that, our solution provides simple view of architecture of neural network. User is able to visualize his own model of neural network and interact with single visualizations. Solution designed and implemented by us is independent tool, which is not connected with another exiting tools or systems.
Key words:Visualization, Neural Networks, Deep Learning

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