Information-Theoretic Methods in Deep Learning
Dublin Core
Title
Information-Theoretic Methods in Deep Learning
Subject
Computer Programs
Machine Learning
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
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
Collection
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.

