Pinned Repositories
bv-website
Bengaluru Veeraru Website
deepthiir
deepthiir.github.io
Detection-of-Diabetic-Retinopathy-using-Convolution-Neural-Network
Diabetic Retinopathy (DR) is an eye disease classified on a scale of 0-4. My task was to create an automated analysis system capable of assigning a score based on this scale • High resolution retina images were available which were cropped, resized, converted to 50% grayscale using OpenCV and pandas. Data augmentation methods were used to increase training set • Various convolutional neural networks (CNN) having different number of hidden layers were trained using tensorflow • The best CNN achived the training accuracy of 83.80% and test accuracy of 79.34%
Internshala-A1
JIT-Canteen-Landing
A Web App Created Using React, Material UI, Firebase
meshery
Meshery, the service mesh management plane
TSF-Data-Science
bv-website
Bengaluru Veeraru Website
deepthiir's Repositories
deepthiir/bv-website
Bengaluru Veeraru Website
deepthiir/deepthiir
deepthiir/deepthiir.github.io
deepthiir/Detection-of-Diabetic-Retinopathy-using-Convolution-Neural-Network
Diabetic Retinopathy (DR) is an eye disease classified on a scale of 0-4. My task was to create an automated analysis system capable of assigning a score based on this scale • High resolution retina images were available which were cropped, resized, converted to 50% grayscale using OpenCV and pandas. Data augmentation methods were used to increase training set • Various convolutional neural networks (CNN) having different number of hidden layers were trained using tensorflow • The best CNN achived the training accuracy of 83.80% and test accuracy of 79.34%
deepthiir/Internshala-A1
deepthiir/JIT-Canteen-Landing
A Web App Created Using React, Material UI, Firebase
deepthiir/meshery
Meshery, the service mesh management plane
deepthiir/TSF-Data-Science