Making Sense of Big Data

Transfer Learning and Data Augmentation applied to the Simpsons Image Dataset

Deep Learning application using Tensorflow and Keras

1. Introduction

In the ideal scenario for Machine Learning (ML), there are abundant labeled training instances, which share the same distribution as the test data [1]. However, these data can be resource-intensive or unrealistic to collect in certain scenarios. Thus, Transfer Learning (TL) becomes a useful…