Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines can identify objects, recognise faces, and perceive depth and motion. Computer Vision has diverse applications, from autonomous vehicles and surveillance systems to medical imaging and augmented reality.
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…