deep learning

Each high-definition photo and video originates from advanced data interpretation procedures that shape and restructure visual information. Image processing is the foundation of scientific methods, transforming unstructured images into ready-to-analyze and decision-making compatible formats.  This article evaluates various image processing techniques through illustrative real-world examples of their everyday applications. What Is Image Processing? Image processing […]

Variational Autoencoders (VAEs) are deep learning models that generate new data by learning the probability distribution of input data. Unlike traditional autoencoders, VAEs are used for image generation, anomaly detection, and data compression. Learn how VAEs work, their applications, and how they compare to other generative models like GANs.