Deep Neural Networks Classification via Binary Error-Detecting Output Codes
One-hot encoding is the prevalent method used in neural networks to represent multi-class categorical data. Its success stems from its ease of use and interpretability as a probability distribution when accompanied by a softmax activation function. However, one-hot encoding leads to very high dimens...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-04-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/11/8/3563 |