Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization

Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization

Convolutional neural networks (CNNs) have made great achievements on computer vision tasks, especially the image classification. With the improvement of network structure and loss functions, the performance of image classification is getting higher and higher. The classic Softmax + cross-entropy los...

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Bibliographic Details
Main Authors: Qiuyu Zhu, Zikuang He, Tao Zhang, Wennan Cui
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Applied Sciences
Subjects:
convolutional neural network
loss function
gradient decent
Online Access:https://www.mdpi.com/2076-3417/10/8/2950

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