Interconnected Neural Networks for Mutli-Task Learning – Lum RAMABAJA
Lum RAMABAJA
Bachelor's thesis
Interconnected Neural Networks for Mutli-Task Learning
Interconnected Neural Networks for Mutli-Task Learning
Language used: English
Date on which the thesis was submitted / produced: 14. 12. 2018
Thesis defence
- Date of defence: 14. 1. 2019
- Supervisor: prof. Dr. Sepp Hochreiter
Citation record
ISO 690-compliant citation record:
RAMABAJA, Lum. \textit{Interconnected Neural Networks for Mutli-Task Learning}. Online. Bachelor's thesis. České Budějovice: University of South Bohemia in České Budějovice, Faculty of Science. 2018. Available from: https://theses.cz/id/aj193l/.
The right form of listing the thesis as a source quoted
RAMABAJA, Lum. Interconnected Neural Networks for Mutli-Task Learning. Č. Budějovice, 2018. bakalářská práce (Bc.). JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH. Přírodovědecká fakulta
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: JIHOČESKÁ UNIVERZITA V ČESKÝCH BUDĚJOVICÍCH, Přírodovědecká fakultaUNIVERSITY OF SOUTH BOHEMIA IN ČESKÉ BUDĚJOVICE
Faculty of ScienceBachelor programme / field:
Applied Informatics / Bioinformatics
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