Machine Vision refers to the use of AI and computer vision techniques to enable machines to perceive and understand visual information. It involves analysing images and videos, extracting features, and making intelligent decisions based on visual data. Machine Vision has applications in various industries, such as quality control, autonomous vehicles, and surveillance.
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…