'Applied Deep Learning Capstone Project' by IBM on edX
I have built a Keras model which classifies 7 different currency notes(european) using their image as input. I have used the ResNet50 and VGG16 models for training. VGG16 achieved approximately 98 percent accuracy on 5 epochs. I have used the cognitiveclass.ai labs as the workspace.
You can see the certificate in my linkedin account: https://www.linkedin.com/in/gnanendra-avvaru/