A Systematic Review About Use of TensorFlow for Image Classification and Word Embedding in the Brazilian Context
DOI:
https://doi.org/10.20873/uft.2675-3588.2020.v1n2.p24-27Keywords:
Systematic Review, TensorFlow framework, Artificial Intelligence ApplicationsAbstract
A great deal of data are available on the Internet, and it is possible to extract any type of implicit knowledge using Artificial Intelligence (AI) tools to support decision making. The open-source TensorFlow framework, developed by the Google Brain Team in 2015, is, presently, the most used tool for several AI applications, such as image classification, word embedding, and chatbot development. This paper presents results of a systematic review of the use of the TensorFlow framework for image classification and word embedding applications written in Portuguese language and in the Brazilian context. We used Google Scholar as Academic Search Engine and 90 were retrieved initially. However, just 12 were remained for reading and obtaining of the main information. Title, publication year, used domain, type of application and covered scope were collected from papers retrieved to accelerate studies in the AI area and to disseminate the potential of this framework for emerging challenges.
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Copyright (c) 2020 Thereza Patricia Pereira Padilha, Lucas Estanislau Alves de Lucena
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