How I achieved 97 % Accuracy in Covid-19 Diagnosis from classifying Chest X-ays Images

The COVID-19 pandemic continues to have a devastating effect on the health and well-being of the global population. Acritical step in the fight against COVID-19 is effective screening of infected patients, with one of the key screening approachesbeing radiology examination using chest radiography. In this study we introduce COVID-Net, a …

in Deep Learning Regularization · Sat 01 May 2021

Dropout for Deep Learning Regularization, explained with Examples

This artcile’s dataset as well as our method’s source code that were used for validating our experiment are available to support the reproduction of our method and results, and can be obtained from my github repo

Deep neural network is a very powerful tool in machine learning. Multiple …

in Deep Learning Regularization · Wed 01 April 2020