Fully Convolutional Neural Network Structure and Its Loss Function for Image Classification

Fully Convolutional Neural Network Structure and Its Loss Function for Image Classification

The overall structure of a convolutional neural network classifier includes multiple convolutional layers and one or more linear layers. Due to the fully connected characteristics of linear layer networks, there are usually many parameters, which may easily lead to local optimization and over-fittin...

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Bibliographic Details
Main Authors: Qiuyu Zhu, Xuewen Zu
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Fully convolutional neural network (FCNN)
loss function
image classification
fully connected layer
curse of dimensionality
ReLU function
Online Access:https://ieeexplore.ieee.org/document/9745570/

Internet

https://ieeexplore.ieee.org/document/9745570/

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