ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.11583
  4. Cited By
Testing the Efficient Network TRaining (ENTR) Hypothesis: initially
  reducing training image size makes Convolutional Neural Network training for
  image recognition tasks more efficient

Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient

30 July 2018
T. Wanger
Peter Frohn
ArXiv (abs)PDFHTML

Papers citing "Testing the Efficient Network TRaining (ENTR) Hypothesis: initially reducing training image size makes Convolutional Neural Network training for image recognition tasks more efficient"

1 / 1 papers shown
Title
Identifying Cocoa Pollinators: A Deep Learning Dataset
Identifying Cocoa Pollinators: A Deep Learning Dataset
Wenxiu Xu
Saba Ghorbani Bazegar
Dong Sheng
Manuel Toledo-Hernandez
ZhenZhong Lan
Thomas Cherico Wanger
122
0
0
31 Dec 2024
1