In the realm of unsupervised learning, autoencoders stand out as powerful tools for data representation and feature learning. These neural networks are adept at capturing complex patterns in data, making them invaluable for tasks like dimensionality reduction, anomaly detection, and data denoising. Let’s delve into the inner workings of autoencoders and explore their practical applications.…