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GitHub / AdityaTheDev / Covid-19-Prediction-Using-CNN

Convolution Neural Network to predict Covid-19. This is a CNN model which predicts whether you have Healthy or you have Coronavirus or you have Pneumonia. I implemented CNN from Scratch and I implemented VGG-16 architecture. This model takes your CT scan report as input and will tell you the result. This Convolutional layer Connects to DeepNeuralNetwork. I found this image dataset(CT scan of patients) online and trained the model for 70 epochs using Softmax function in the output layer. If I had got a much more large image dataset(CT scan of patients) then I could have increased the accuracy a bit more. This model has the potential to become a breakthrough invention in the field of medical industry.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AdityaTheDev%2FCovid-19-Prediction-Using-CNN

Stars: 1
Forks: 0
Open Issues: 0

License: cc0-1.0
Language: Jupyter Notebook
Repo Size: 200 KB
Dependencies: pending

Created: almost 3 years ago
Updated: over 1 year ago
Last pushed: almost 3 years ago
Last synced: 11 months ago

Topics: adam-optimizer, classification, cnn, cnn-classification, cnn-keras, cnn-model, covid19, d, dnn, image-classification, image-segmentation, keras, softmax, softmax-classifier, tensorflow

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