Visual interpretability for deep learning: a survey

Published 2018 View Full Article

  1. Home
  2. Publications
  3. Publication Search
  4. Publication Details
Title
Visual interpretability for deep learning: a survey
Authors
Keywords
Artificial intelligence, Deep learning, Interpretable model, TP391
Journal
Frontiers of Information Technology & Electronic Engineering
Volume 19, Issue 1, Pages 27-39
Publisher
Zhejiang University Press
Online
2018-04-27
DOI
10.1631/fitee.1700808

Ask authors/readers for more resources

Protocol

Community support

Reagent

Community support

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Create your own webinar

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

Create Now
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.