Variational Autoencoders are a type of generative model used in unsupervised learning. VAEs learn a low-dimensional representation of input data and can generate new data samples similar to the training data. They have applications in tasks such as image generation, anomaly detection, and data compression.
Probabilistic Graphical Models is a type of statistical model used in Machine Learning and Artificial Intelligence. They represent complex relationships between variables through graphs…