Presentation information

General Session

General Session » [GS] J-2 Machine learning

[1Q3-J-2] Machine learning: structural modeling

Tue. Jun 4, 2019 3:20 PM - 5:00 PM Room Q (6F Meeting room, Bandaijima bldg.)

Chair:Koh Takeuchi Reviewer:Akisato Kimura

3:20 PM - 3:40 PM

[1Q3-J-2-01] L1 Regularization based Learning Method for Capsule Network

〇Nozomu Ohta1, Shin Kawai1, Hajime Nobuhara1 (1. University of Tsukuba)

Keywords:Capsule Network

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.