Introduction to Autoencoders

In today's article, we are going to discuss a neural network architecture called autoencoders. This article is aimed at Machine Learning and Deep Learning beginners who are interested in getting a brief understanding of the underlying concepts behind autoencoders. So let's dive in and get familiar with the concept of autoencoders. Autoencoders are a type of neural network that attempts to mimic its input as closely as possible to its output. It aims to take an input, transform it into a reduced representation called code or embedding.