What is a VAE and how is it different from GANs?
Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs) are both powerful models in unsupervised machine learning, especially for generating new data. While they share a similar goal…
What are GANs and how do they work?
Generative Adversarial Networks (GANs) are a type of machine learning model made up of two competing neural networks: a generator and a discriminator. The generator creates fake…