'The Diabetic Retinopathy challenge on Kaggle has just finished. The goal of the competition was to predict the presence and severity of the disease Diabetic Retinopathy from photographs of eyes. I finished in 20th place using a Convolutional Neural Network (ConvNet). In this post I’ll explain my learning process and progress as I implemented my first ConvNet over the last 3 months. Throughout, I’ll link to the implementations in my code, which is available on github for anyone who wishes to replicate my score.'
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[ 5.1 ms ] story [ 39.5 ms ] thread'The Diabetic Retinopathy challenge on Kaggle has just finished. The goal of the competition was to predict the presence and severity of the disease Diabetic Retinopathy from photographs of eyes. I finished in 20th place using a Convolutional Neural Network (ConvNet). In this post I’ll explain my learning process and progress as I implemented my first ConvNet over the last 3 months. Throughout, I’ll link to the implementations in my code, which is available on github for anyone who wishes to replicate my score.'
Looks like a fun problem. I've never had much luck with NN for anything other that feature extraction.
Yes, they must've.