You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
This project implements ResNet50 in keras and applies transfer learning from Imagenet to recognize food. It achieves 77.25% Top1 and 92.90% Top5 testing accuracy after 9 training epochs which takes only 5 hour.
Community project for developing an app which entails (1) an exhibition recognition AI model and (2) mobile-first website for visually and hearing impared people.
University Project. In this project I modified a number of hyper parameters, detailed in my report. To increase the accuracy of the CNN model. Achieved 84%.