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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