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...

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Bibliographic Details
Main Authors: Martin Klimo, Peter Lukáč, Peter Tarábek
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/8/3563