the pandemic, including in the deep learning community. In this research, a modification of
deep neural network based on Xception model is proposed. The model is used for COVID-
19 detection based on the chest X-ray images. The proposed model implements two stacks
of two dense layers and batch normalization. The layers addition is used to avoid overfitting
of the proposed model. The performance of the proposed model is compared to Resnet50 …