Tag Archives: Data Augmentation

Data Augmentation In the last section we talked about how to stabilize the network performance while we use dropout. This way we focus on overall shape instead of focussing on details like logos. It works because in each epoch another part of the network (not of the image) is hided/frozen. So small details like logosContinue reading “ML Zoomcamp 2023 – Deep Learning – Part 12”