Introduction
In the realm of image generation, Generative Adversarial Networks (GANs) have emerged as powerful tools, capable of creating remarkably realistic visuals. For professionals with decades of experience, witnessing this transformation is akin to seeing the evolution from film to digital photography. This article delves into the fascinating world of GANs, exploring their inner workings and highlighting their potential impact on the field of butterfly image generation, particularly using a dataset of 75 butterfly classes.
Understanding GANs
GANs are a revolutionary approach to image generation, where two neural networks – the generator and the discriminator – engage in a continuous