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Deep Learning for COVID-19 X-Ray Detection by laxmi.slv is a document available to read on EtoBox.

What is Deep Learning for COVID-19 X-Ray Detection about?

This document summarizes a study that analyzed the performance of various deep learning algorithms for detecting COVID-19 from chest X-ray images. The study used a dataset of 10,000 chest X-ray images labeled as either COVID-positive or normal. It tested the VGG16 convolutional neural network model with different activation functions (ReLU, ELU) and optimizers (SGD, ADAM, ADAMAX) for training. The results found that using the ADAM and ADAMAX optimizers with ELU activation achieved 100% accuracy in classifyi

Author

laxmi.slv

Language

EN