Information-Theoretic Methods in Deep Learning

Dublin Core

Title

Information-Theoretic Methods in Deep Learning

Subject

Computer Programs
Machine Learning

Description

The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods.This Special Issue, "Information-Theoretic Methods in Deep Learning: Theory and Applications", presents cutting-edge research that bridges the gap between information theory and deep learning.

Creator

Shuangming Yang,
Shujian Yu

Source

https://mdpi-res.com/bookfiles/book/10425/InformationTheoretic_Methods_in_Deep_Learning.pdf?v=1776647452

Publisher

MDPI - Multidisciplinary Digital Publishing Institute

Date

2025

Contributor

Mustabsyirah

Rights

Creative Commons

Format

PDF

Language

English

Type

Textbooks

Files

Citation

Shuangming Yang, Shujian Yu, “Information-Theoretic Methods in Deep Learning,” Open Educational Resource (OER) - USK Library, accessed May 2, 2026, https://oer.usk.ac.id/items/show/9840.