![Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names](https://gombru.github.io/assets/cross_entropy_loss/sigmoid_CE_pipeline.png)
Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
![Applied Sciences | Free Full-Text | Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization Applied Sciences | Free Full-Text | Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization](https://www.mdpi.com/applsci/applsci-10-02950/article_deploy/html/images/applsci-10-02950-g001.png)
Applied Sciences | Free Full-Text | Improving Classification Performance of Softmax Loss Function Based on Scalable Batch-Normalization
![Derivative of the Softmax Function and the Categorical Cross-Entropy Loss | by Thomas Kurbiel | Towards Data Science Derivative of the Softmax Function and the Categorical Cross-Entropy Loss | by Thomas Kurbiel | Towards Data Science](https://miro.medium.com/v2/resize:fit:1400/1*gctBX5YHUUpBEK3MWD6r3Q.png)
Derivative of the Softmax Function and the Categorical Cross-Entropy Loss | by Thomas Kurbiel | Towards Data Science
![SOLVED: Show that for an example (€,y) the Softmax cross-entropy loss is: LscE(y,9) = - Yk log(yk) = yt log y K=] where log represents element-wise log operation. Show that the gradient SOLVED: Show that for an example (€,y) the Softmax cross-entropy loss is: LscE(y,9) = - Yk log(yk) = yt log y K=] where log represents element-wise log operation. Show that the gradient](https://cdn.numerade.com/ask_images/b5ae6408d740495788fa2d82daeca650.jpg)
SOLVED: Show that for an example (€,y) the Softmax cross-entropy loss is: LscE(y,9) = - Yk log(yk) = yt log y K=] where log represents element-wise log operation. Show that the gradient
![Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names](https://gombru.github.io/assets/cross_entropy_loss/intro.png)
Understanding Categorical Cross-Entropy Loss, Binary Cross-Entropy Loss, Softmax Loss, Logistic Loss, Focal Loss and all those confusing names
![Cross-Entropy Loss Function. A loss function used in most… | by Kiprono Elijah Koech | Towards Data Science Cross-Entropy Loss Function. A loss function used in most… | by Kiprono Elijah Koech | Towards Data Science](https://miro.medium.com/v2/resize:fit:1356/1*XnFRwxexIZJrDrQjB1TaxA.png)
Cross-Entropy Loss Function. A loss function used in most… | by Kiprono Elijah Koech | Towards Data Science
![Convolutional Neural Networks (CNN): Softmax & Cross-Entropy - Blogs - SuperDataScience | Machine Learning | AI | Data Science Career | Analytics | Success Convolutional Neural Networks (CNN): Softmax & Cross-Entropy - Blogs - SuperDataScience | Machine Learning | AI | Data Science Career | Analytics | Success](https://sds-platform-private.s3-us-east-2.amazonaws.com/uploads/76_blog_image_4.png)
Convolutional Neural Networks (CNN): Softmax & Cross-Entropy - Blogs - SuperDataScience | Machine Learning | AI | Data Science Career | Analytics | Success
![machine learning - How to calculate the derivative of crossentropy error function? - Cross Validated machine learning - How to calculate the derivative of crossentropy error function? - Cross Validated](https://i.stack.imgur.com/RE8tn.png)