Fine-tuning ResNet50 to Diagnose COVID-19

Abdulkader Helwan

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18 Feb 2021CPOL5 min read

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In this article, we’ll fine-tune our ResNet50 model.

Here transfer learning is employed to leverage the knowledge of ResNet50 in a new classification task – the detection of COVID-19. Transfer learning includes two stages: freezing and fine-tuning.

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This article is part of the series 'COVID-19 Diagnosis with Deep Learning ◁ Prev View All Next ▷

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This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)

Written By

Abdulkader Helwan

Engineer

Lebanon

Dr. Helwan is a machine learning and medical image analysis enthusiast.

His research interests include but not limited to Machine and deep learning in medicine, Medical computational intelligence, Biomedical image processing, and Biomedical engineering and systems.

Fine-tuning ResNet50 to Diagnose COVID-19

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