Loss function: cross entropy & Label Smoothing label smoothing - Code World

Loss function: cross entropy & Label Smoothing label smoothing

Enterprise 2023-04-09 22:28:36 views: null

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Origin blog.csdn.net/qq_27586341/article/details/124557449

Loss function: cross entropy & Label Smoothing label smoothing

Label smoothing + cross entropy

[Deep Learning] Loss Function Series (1) Square Loss Function, Cross Entropy Loss Function (including label_smoothing, ignore_index, etc.)

Detailed label smoothing (Label Smoothing)

[Deep Learning] Loss function (mean absolute error, mean square error, smoothing loss, cross entropy, cross entropy with weights, dice loss, FocalLoss)

Label smoothing: When Does Label Smoothing Help?

Personal view of Label Smoothing

Regularization method Label Smoothing

Label smoothing knowledge points

InceptionV3----Label Smoothing

InceptionV3----Label Smoothing

Teaching Network with Soft Label Smoothing for Smoothing Noisy Labels in Facial Expressions

Cross entropy -- loss function

Cross entropy loss function (Cross Entropy)

Cross entropy loss function (Cross Entropy)

[Loss function] Cross Entropy Loss Cross entropy loss

About cross-entropy loss function Cross Entropy Loss

Amount of Information, Entropy Entropy, Cross Entropy Cross Entropy, KL Divergence KL Divergence, Cross Entropy Loss Function Cross Entropy Loss

CROSS advantage entropy loss function (reproduced)

Divergence loss function and cross-entropy --KL

Loss function to understand: MSE and Cross Entropy Error

softmax cross entropy loss function derivative

pytorch cross entropy loss function of the weight parameters

Detailed explanation of the principle of cross entropy loss function

CrossEntropy (cross entropy loss function pytorch)

Loss function - mean square error & cross entropy

Common loss function loss (mean square error, cross entropy)

Curve smoothing (Smoothing)

Derivation of sigmoid cross entropy loss function for binary classification problem

[Introduction to Machine Learning] Cross-entropy loss function and MLE criterion

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