Implementation of deep neural networks (DNN) with batch normalization for batik pattern recognition
10.11591/ijece.v10i2.pp2045-2053
Saved in:
Main Authors: | Nurhaida, I., Ayumi, V., Fitrianah, D., Zen, R.A.M., Noprisson, H., Wei, H. |
---|---|
Other Authors: | SCHOOL OF COMPUTING |
Format: | Article |
Published: |
Institute of Advanced Engineering and Science
2021
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/198835 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Determining the number of batik motif object based on hierarchical symmetry detection approach
by: Nurhaida, I., et al.
Published: (2022) -
Multi-stage DNN training for automatic recognition of dysarthric speech
by: Yilmaz E., et al.
Published: (2018) -
Noise-Robust Speech Recognition Using Deep Neural Network
by: LI BO
Published: (2014) -
SCALE-ROBUST DEEP LEARNING FOR VISUAL RECOGNITION
by: JIE ZEQUN
Published: (2016) -
An ANN-aided parameter design method for CLLC-type DAB converters considering parameter perturbation
by: Wang, Ning, et al.
Published: (2024)