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.
Object Detection is an AI technique that identifies and localises objects within an image or video. It involves analysing the visual data and assigning…