Nowadays we see several real-world applications of synthetically generated data (see Figure 1), for example, solving the data imbalance problem in classification tasks, performing style transfer for artistic images, generating protein structure for scientific analysis, etc. In this blog, we are going to explore synthetic data generation using deep neural…