Autoencoders are a fundamental concept in deep learning, widely used for data compression, noise reduction, and feature extraction. These neural networks have become vital tools in various domains, including image processing, natural language processing, and anomaly detection. In this article, we’ll explore what autoencoders are, how they work, and why…