A Gentle Introduction to Autoencoders & Latent Space

Introduction Heavy computation is a well-known problem in various ML algorithms today, especially when generative AI is applied to text, images, and other unstructured data. One of the principal approaches to mitigate this problem is to compress input data into a lower-dimensional representation while preserving the main context. There are various methods that achieve this […]

The post A Gentle Introduction to Autoencoders & Latent Space appeared first on Towards Data Science.