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JOURNAL OF INTELLIGENT SYSTEMS WITH APPLICATIONS
J. Intell. Syst. Appl.
E-ISSN: 2667-6893

Effect of Different Batch Size Parameters on Predicting of COVID19 Cases

Farklı Parti Boyutu Parametrelerinin COVID19 Vakalarının Tahmini Üzerindeki Etkisi

How to cite: Narin A, Pamuk Z. Effect of different batch size parameters on predicting of covid19 cases. J Intell Syst Appl 2020; 3(2): 69-72.

Full Text: PDF, in English.

Total number of downloads: 326

Title: Effect of Different Batch Size Parameters on Predicting of COVID19 Cases

Abstract:

Keywords: COVID19; ResNet50; batch size; pre-trained CNN model


Başlık: Farklı Parti Boyutu Parametrelerinin COVID19 Vakalarının Tahmini Üzerindeki Etkisi

Özet:

Anahtar kelimeler: COVID-19; ResNet50; parti boyutu; önceden eğitilmiş CNN modeli


Bibliography: