Machine Learning & Training

What Is an Autoencoder?

An autoencoder is a type of neural network that learns to compress input data into a lower-dimensional representation and then reconstruct it. The compact middle layer captures the most important features of the data. Autoencoders are used for tasks such as dimensionality reduction, denoising, and anomaly detection.