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## 💥 Proposal
Using Kaggle Dataset , Use dense layers will decrease the feature extraction ...which will eventually get us low accuracy to overcome that I would like to Use ResNet
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Description
This feature aims to implement a Recurrent Neural Network (RNN) model to classify eye diseases from medical images. The model will be trained to identify various eye conditions such as …
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hi, @saifulislampharma
i anm a students from China.Recently i read your article 'Deep Learning based Early Detection and Grading of Diabetic Retinopathy Using Retinal Fundus Images',Can you provi…
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I am interested in the ordinal classifier, and are studying it using the retinopathy database.
I have downloaded https://www.kaggle.com/c/diabetic-retinopathy-detection/data
according to the sourc…
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* Name of dataset: APOTOS 2019 Blindness Detection - for diabetic retinopathy
* URL of dataset: https://www.kaggle.com/c/aptos2019-blindness-detection/overview
* License of dataset: Apache License …
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http://doi.org/10.1001/jama.2016.17216
> **Importance** Deep learning is a family of computational methods that allow an algorithm to program itself by learning from a large set of examples that d…
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This issue is for the short workshop on [Integrating Custom Vision with Power Apps for Diabetic Retinopathy Detection](https://github.com/microsoft/workshop-library/blob/main/full/power-app-custom-vis…
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Description: Retrieve and preprocess the dataset needed to reconstruct the CNN model for diabetic retinopathy detection. Use the Kaggle API to download the dataset and prepare it to match the original…
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Sprawdzić kernel z Kaggla pod kątem modelowania sieciami neuronowymi - jakie rodzaje Siecie, architektura, przygotowanie danych, etc.