Home AI Courses Diabetic Retinopathy Detection with AI

Diabetic Retinopathy Detection with AI

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Learn to understand and implement Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs) using Keras with TensorFlow 2.0, and evaluate their performance and generalization.

Key AI Functions:

Computer Vision,Python Programming,Machine Learning,Deep Learning,Artificial Intelligence(AI)

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Description for Diabetic Retinopathy Detection with AI

Develop an understanding of the theory and intuition that underlie Deep Neural Networks, Residual Nets, and Convolutional Neural Networks (CNNs).

Develop a deep learning model that utilizes Keras with Tensorflow 2.0 as a backend, utilizing Convolutional Neural Networks and Residual Blocks.

Evaluate the performance of the trained CNN and guarantee its generalization by employing a variety of key performance indicators.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Coursera Project Network

Duration: 2 hours learn at your own pace

Schedule: Flexible

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