Can I read An Introduction to Neural Data Compression on EtoBox?

An Introduction to Neural Data Compression by Yibo Yang, Stephan Mandt, Lucas Theis is a nonfiction available to read on EtoBox.

What is An Introduction to Neural Data Compression about?

The goal of data compression is to reduce the number of bits needed to represent useful information. Neural, or learned compression, is the application of neural networks and related machine learning techniques to this task. This monograph aims to serve as an entry point for machine learning researchers interested in compression by reviewing the prerequisite background and representative methods in neural compression. Neural compression is the application of neural networks and other machine learning methods to data compression. Recent advances in statistical machine learning have opened up new possibilities for data compression, allowing compression algorithms to be learned end-to-end from data using powerful generative models such as normalizing flows, variational autoencoders, diffusion probabilistic models, and generative adversarial networks. This monograph introduces this field of research to a broader machine learning audience by reviewing the necessary background in information theory (e.g., entropy coding, rate-distortion theory) and computer vision (e.g., image quality assessment, perceptual metrics), and providing a curated guide through the essential ideas and methods i

Who reads An Introduction to Neural Data Compression?

Author

Yibo Yang, Stephan Mandt, Lucas Theis

Publisher

Now Publishers

Published

2023

Language

EN

ISBN

9781638281740

Category

nonfiction

Subjects

Computer Science, Engineering, Electrical & Electronic Engineering