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.
One-Shot learning is an AI approach that enables models to learn from only one or a few examples. This approach is advantageous in tasks…