Abstract: Despite their success, the traditional deep neural networks are unable to rapidly generalize from a limited number of samples. To address the issue of large training data requirements with ...

Abstract: Properly predicting students'academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint ...

This project was developed as part of a 5-day AI Bootcamp. The goal was to build and compare different image recognition models, starting from a basic CNN and progressing to advanced transfer learning ...