Milestones and New Frontiers in Deep Learning

  • Ygor Rebouças Serpa UNIFOR
  • Leonardo Augusto Pires UNIFOR
  • Maria Andréia Formico Rodrigues UNIFOR

Resumo


Only very recently, deep learning models have been globally used as the basis for most of the on-going research on several fundamental computing areas, such as computer vision, information extraction, data generation and data understanding. The field is still a black box for many people, particularly, on its more mathematical aspects. Users of high level packages often struggle to understand the reasoning behind the many building blocks of deep learning, such as convolutional layers, batch normalization and activation functions.

Palavras-chave: Mathematical model, Machine learning, Data models, Machine learning algorithms, Task analysis, Numerical models, Computational modeling

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Publicado
28/10/2019
SERPA, Ygor Rebouças; PIRES, Leonardo Augusto; RODRIGUES, Maria Andréia Formico. Milestones and New Frontiers in Deep Learning. In: CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), 32. , 2019, Rio de Janeiro. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . DOI: https://doi.org/10.5753/sibgrapi.2019.9772.