L1 Regularization based Learning Method for Capsule Network

DOI

Bibliographic Information

Other Title
  • L1正則化を用いたCapsule Networkの学習法の一提案

Description

<p>Capsule Network is a new neural network proposed to overcome the shortcomings of CNN. However, the Capsule Network has many learnable parameters and is prone to over- tting. In this research, we aim to improve general- ization ability by reducing parameters using L1 regularization. We evaluate our method by comparing the accuracy and the reconstructed image with the conventional method.</p>

Journal

Keywords

Details 詳細情報について

  • CRID
    1390564238096800128
  • NII Article ID
    130007658336
  • DOI
    10.11517/pjsai.jsai2019.0_1q3j201
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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