Introduction

Data can make or break your machine learning (ML) algorithm. This chapter will lay the basic ground work for manipulating data, augmenting data, and balancing imbalanced datasets or data with massive outliers. Each recipe will provide a guide on how to use open source libraries to accelerate our Generative Adversarial Network (GAN) training.