Cross Entropy in Deep Learning of Classifiers Is Unnecessary—ISBE Error Is All You Need

Cross Entropy in Deep Learning of Classifiers Is Unnecessary—ISBE Error Is All You Need

In deep learning of classifiers, the cost function usually takes the form of a combination of SoftMax and CrossEntropy functions. The SoftMax unit transforms the scores predicted by the model network into assessments of the degree (probabilities) of an object’s membership to a given class. On the ot...

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Bibliographic Details
Main Author: Władysław Skarbek
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Entropy
Subjects:
deep learning
cross entropy
normalization function
neural network
model inference
gradient backpropagation
Online Access:https://www.mdpi.com/1099-4300/26/1/65

Internet

https://www.mdpi.com/1099-4300/26/1/65

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