Diabetic Retinopathy Detection with Artificial Intelligence
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Understand the theory and intuition behind Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs)
Build a deep learning model based on Convolutional Neural Network and Residual blocks using Keras with Tensorflow 2.0 as a backend
Assess the performance of trained CNN and ensure its generalization using various Key performance indicators.