Classification of Handwritten Digits

Authors

  • Ana Rodrigues Instituto Politécnico de Santarém, Portugal
  • Bernardo Rhodes Instituto Politécnico de Santarém, Portugal
  • Daniel Cambinda Instituto Politécnico de Santarém, Portugal
  • Pedro Lourenço Instituto Politécnico de Santarém, Portugal
  • Ricardo Mota Instituto Politécnico de Santarém, Portugal
  • Tiago Aires Instituto Politécnico de Santarém, Portugal

DOI:

https://doi.org/10.25746/ruiips.v9.i4.26209

Keywords:

Machine Learning, Neural Network, Supervised Learning, Training set, Test set

Abstract

This article aims to introduce some concepts related to Artificial Intelligence, more specifically Machine Learning, and to present an example of a project related to the classification of handwritten digits in Python. To do so, this article follows a project studied in one of our classes of «AI», complemented by literature on the subject. Finally, the article presents results obtained by testing the algorithms in question, a corresponding interpretation, along with a discussion on the applicability and viability of this approach in real-life conditions.

Capa: Classification of Handwritten Digits

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Published

2021-12-31

How to Cite

Rodrigues, A., Rhodes, B., Cambinda, D. ., Lourenço, P., Mota, R., & Aires, T. (2021). Classification of Handwritten Digits. Revista Da UI_IPSantarém, 9(4), 44–57. https://doi.org/10.25746/ruiips.v9.i4.26209

Issue

Vol. 9 No. 4 (2021): Thematic Edition: Exact Sciences and Engineering | International Conference on Digital Transformation - International Cooperation, multiculturalism, collaborative work and more inclusive, sustainable and resilient environments

Section

Papers

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