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.
A convolutional neural network is a powerful deep learning model designed for processing and analysing visual data. It excels in tasks such as image…