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Found 2 papers, 1 papers with code
Within the Lack of COVID-19 Benchmark Dataset: A Novel GAN with Deep Transfer Learning for Corona-virus Detection in Chest X-ray Images
In the second scenario, the Alexnet is selected to be the main deep transfer model as it achieves 85. 2% in testing accuracy, while in the third scenario which includes 2 classes (COVID-19, and normal), Googlenet is selected to be the main deep transfer model as it achieves 100% in testing accuracy and 99. 9% in the validation accuracy.
Deep Learning Autoencoder Approach for Handwritten Arabic Digits Recognition
This paper presents a new unsupervised learning approach with stacked autoencoder (SAE) for Arabic handwritten digits categorization.
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