For this project, different architectures were used to characterize patients with COVID, Neuomonia and healthy patients.
The purpose of this work is to make a reliable system to identify COVID-19 patients through transfer learning in convolutional neural networks.
For this project we implement the pre-trained VGG architectures in Tensorflow
This project was made with ❤️ by Luis Navarrete.