Machine Learning, Deep Learning, Generative Model, Adversarial Network, Autoencoder.
generate similar images with some variability. To achieve this, the model needs to learn the probability distribution of the training data. VAE is one of the most popular approach to learn the complicated data distribution such as images using neural networks in an unsupervised fashion. It is a