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- Level Professional
- المدة 4 ساعات hours
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In this project, we will train deep neural network model based on Convolutional Neural Networks (CNNs) and Residual Blocks to detect the type of Diabetic Retinopathy from images. Diabetic Retinopathy is the leading cause of blindness in the working-age population of the developed world and estimated to affect over 347 million people worldwide. Diabetic Retinopathy is disease that results from complication of type 1 & 2 diabetes and can develop if blood sugar levels are left uncontrolled for a prolonged period of time. With the power of Artificial Intelligence and Deep Learning, doctors will be able to detect blindness before it occurs.Auto Summary
Enhance your AI skills with Coursera's "Diabetic Retinopathy Detection with Artificial Intelligence." This intermediate-level course focuses on training deep neural networks using CNNs and Residual Blocks to identify types of Diabetic Retinopathy from images. Ideal for data science enthusiasts, the course spans 240 minutes and is available for free. Join now to elevate your expertise in AI-driven healthcare solutions!