Evaluation of hyperparameters in CNN for detecting patterns in images
Deep learning techniques have emerged as an effective solution to the problems of current pattern recognition techniques, such as neural networks. Within these new techniques, the convolutional neural networks (CNN) offer an integration to the recognition of patterns in images, given by the traditio...
Main Authors: | Robinson Jiménez Moreno, Oscar Avilés, Diana Marcela Ovalle |
---|---|
Format: | Article |
Language: | English |
Published: |
Universidad Distrital Francisco José de Caldas
2017-12-01
|
Series: | Visión Electrónica |
Subjects: | |
Online Access: | https://revistas.udistrital.edu.co/index.php/visele/article/view/14618 |
Similar Items
-
Recognition of Plasma Discharge Patterns Based on CNN and Visible Images
by: Yong Yang, et al.
Published: (2021-01-01) -
Electroencephalography Based Fusion Two-Dimensional (2D)-Convolution Neural Networks (CNN) Model for Emotion Recognition System
by: Yea-Hoon Kwon, et al.
Published: (2018-04-01) -
Lung Nodule Texture Detection and Classification Using 3D CNN
by: Ivan William Harsono
Published: (2019-10-01) -
Interchange Recognition Method Based on CNN
by: HE Haiwei, et al.
Published: (2018-03-01) -
OCT Image Recognition of Cardiovascular Vulnerable Plaque Based on CNN
by: Jingbo Wang
Published: (2020-01-01)