doctoral thesis
Extending the recurrent neural network model for improved compositional modelling of text sequences
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:818357

University of Zagreb
Faculty of Electrical Engineering and Computing
Department of Electronics, Microelectronics, Computer and Intelligent Systems

Cite this document

Tutek, M. (2022). Extending the recurrent neural network model for improved compositional modelling of text sequences (Doctoral thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:818357

Tutek, Martin. "Extending the recurrent neural network model for improved compositional modelling of text sequences." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:818357

Tutek, Martin. "Extending the recurrent neural network model for improved compositional modelling of text sequences." Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:818357

Tutek, M. (2022). 'Extending the recurrent neural network model for improved compositional modelling of text sequences', Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 20 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:818357

Tutek M. Extending the recurrent neural network model for improved compositional modelling of text sequences [Doctoral thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 May 20] Available at: https://urn.nsk.hr/urn:nbn:hr:168:818357

M. Tutek, "Extending the recurrent neural network model for improved compositional modelling of text sequences", Doctoral thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:818357

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