In this notebook, we examine covid-19 infection with the help of convolutional neural network and chest x-ray images.
Dataset images are divided into two classes:
- covid (25 images) 😥
- normal (25 images) 😌
I used VGG16 in keras to categorize the images of these two classes, the structure of this network can be seen below:
Using this ready-made network and without adding any other convolution layer, I reached 100% accuracy after 25 epochs. 😎 😍 😃
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