Diabetic Retinopathy Detection with AI
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.
Description for Diabetic Retinopathy Detection with AI
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
Pricing for Diabetic Retinopathy Detection with AI
Use Cases for Diabetic Retinopathy Detection with AI
FAQs for Diabetic Retinopathy Detection with AI
Reviews for Diabetic Retinopathy Detection with AI
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Diabetic Retinopathy Detection with AI
Featured Tools
The final course in the Google Advanced Data Analytics Certificate provides an optional capstone project that enables learners to apply their newly acquired skills to real-world business problems. This project is supervised by Google employees and is designed to prepare students for advanced data analytics and data science positions.
Gives students a practical arsenal to design and program intelligent NPC behaviors for immersive gaming experiences.
By providing learners with a comprehensive understanding of statistical analysis and modeling, this course enables them to extract valuable insights from data using R.
The training offers practical ways for maximizing the potential of Generative AI tools for corporate growth and increased efficiency.
Develop and evaluate machine learning models using regression, trees, and unsupervised techniques to address various business challenges.