cGAN: Conditional Generative Adversarial Network — How to Gain Control Over GAN Outputs | by Saul Dobilas | Aug, 2022
Neural NetworksAn explanation of cGAN architecture with a detailed Python exampleConditional Generative Adversarial Network. Image by author.Have you experimented with Generative Adversarial Networks (GANs) yet? If so, you may have encountered a situation where you wanted your GAN to generate a specific type of data but did not have sufficient control over GANs outputs.For example, assume you used a broad spectrum of flower images to train a GAN capable of producing fake pictures of flowers. While you can use your model…