IBM Deep Learning Capstone Project - Bank Note Classifier

IBM Deep Learning Capstone Project Certificate. The Capstone project is designed to give individuals a challenging real world deep learning project to hone and validate their skills. The chosen project was a classifier to identify type and nomination of bank notes. Resnet and VGG models were used to create models and the model classified at 95% accuracy. Skills learned included image classification, data augmentation Keras and Transfer learning.

The IBM qualification consists of test question and a final peer review score of a submitted workbook. The submittal scored 90%.

IBM: Applied Deep Learning Capstone Project. | edX