Improving Generalizability of CNN models

By Boshika Tara, Ashna Arya, Leonard So INTRODUCTION Generalizability is one of the most challenging problems that exist when it comes to model performance. It is essentially how well a model performs on unseen data, most deep learning models that perform poorly overfit the training data. Models use inductive bias to generalize based on theContinue reading “Improving Generalizability of CNN models”