Digital Marketing with Generative Adversarial Networks
A new technique called Generative Adversarial Networks, or GANs, has been showing promising results in the field of artificial intelligence and computer vision. GANs are being used to create photorealistic images, detect pedestrians in complex and noisy environments, and even generate music! In this article, we’ll explore how to use GANs to improve your digital marketing strategies using neural networks and adversarial training... What are GANs? Goodfellow et al. published their paper introducing a new family of models: generative adversarial networks (GANs). These were originally devised to improve unsupervised learning for image classification problems, but have since found many more applications in computer vision and natural language processing. A GAN consists of two neural networks: a generator and a discriminator. The generator takes random noise as input and outputs synthetic data. The discriminator receives both real examples from your dataset and examples from your gener...