•1 min read•from Towards Data Science
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 […]
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#Autoencoders
#Latent Space
#Machine Learning
#ML algorithms
#Generative AI
#Data Compression
#Dimensionality Reduction
#Unstructured Data
#Text
#Images
#Representation Learning
#Context Preservation
#Lower-Dimensional
#Computation
#Algorithms
#Input Data
#Towards Data Science
#AI
#Mitigation
#Methods