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@ -108,10 +108,17 @@ Navrhovaný transformátor R sa skladá zo stohu rovnakých vrstiev. Každá vrs
## Zoznam použitej literatúry
[1]. VASWANI A., SHAZEER N., PARMAR N., USZKOREIT J., JONES L., GOMEZ N.A., KASIER L., POLUSUKHIN.I.: _Attention Is All You Need._ [online]. [citované 2017].
[2]. WANG Z., MA Y., LIU Z., TANG J.: _R-Transformer: Recurrent Neural Network Enhanced Transformer._ [online]. [citované 12-07-2019].
[3]. SRIVASTAVA S.: _Machine Translation (Encoder-Decoder Model)!._ [online]. [citované 31-10-2019].
[4]. ALAMMAR J.: _The Illustrated Transformer._ [online]. [citované 27-06-2018].
[5]. _Sequence Modeling with Neural Networks (Part 2): Attention Models_ [online]. [citované 18-04-2016].
[6]. GIACAGLIA G.: _How Transformers Work._ [online]. [citované 11-03-2019].
[7]. _Understanding LSMT Networks_ [online]. [citované 27-08-2015].
[8]. _6 Types of Artifical Neural Networks Currently Being Used in Machine Translation_ [online]. [citované 15-01-201].