A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
A Mathematical Theory of Deep Convolutional Neural Networks for Feature Extraction
Authors
Keywords
-
Journal
IEEE TRANSACTIONS ON INFORMATION THEORY
Volume 64, Issue 3, Pages 1845-1866
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Online
2017-11-22
DOI
10.1109/tit.2017.2776228

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Create your own webinar

Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.

Create Now

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started
Webinars Posters Questions Hubs Funding Journals Articles Connect Collections Reviewers About Us FAQs Mobile App Privacy Policy Terms of Use
© Peeref 2019-2024. All rights reserved.