Date of Award

12-1-2018

Degree Name

Master of Science

Department

Computer Science

First Advisor

Rekabdar, Banafsheh

Abstract

Tensor2Tensor is a library of deep learning models and datasets developed by the Google Brain team. The transformer models of this library are implemented using stacked self-attention layers instead of containing recurrent layers. Two of these transformer models have been chosen along with a few hyperparameter sets for analyzing the Internet Movie Database (IMDB). The runtime and accuracy of these models are then compared to themselves as well as the accuracy of previously known models.

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