• Skip to primary navigation
  • Skip to content
  • Skip to footer
  • About
      About HJ About All-In Dashboard
  • Data Science & ML
  • Computer Science
  • Math
  • IT Backyard

    [Research Paper] Learning representations by back-propagating errors

    Backpropagation

    December 2, 2024

    HJ

    HJ

    Leave HJ’s trace, All-In

    • Suwon, Republic of Korea
    • Email
    • Website
    • Instagram
    • GitHub
    • LinkedIn
    • X

    On This Page

    • Basic Information
    • Summary

    Basic Information

    • Authors: David E. Rumelhart, Geoffrey E. Hinton & Ronald J. Williams
    • Journals: Nature
    • Year: 1986
    • Citation: Rumelhart, D., Hinton, G. & Williams, R. Learning representations by back-propagating errors. Nature 323, 533–536 (1986).


    Summary



    Github Link

    태그: Deep Learning, Machine Learning

    카테고리: Data Science & ML

    공유하기

    Twitter Facebook LinkedIn
    이전 다음

    댓글남기기

    참고

    [Articles] Generative Adversarial Nets

    July 1, 2025

    GAN

    [Articles] Deep Residual Learning for Image Recognition

    June 26, 2025

    ResNet

    [Articles] ImageNet Classification with Deep Convolutional Neural Networks

    June 24, 2025

    AlexNet, the starting point of CNN

    [Articles] Learning representations by back-propagating errors

    June 22, 2025

    Backpropagation

    • 팔로우:
    • X
    • GitHub
    • Instagram
    • 피드
    © 2025 All-In. Powered by Jekyll & Minimal Mistakes.