Difference between revisions of "Softmax"
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* [http://dataaspirant.com/2017/03/07/difference-between-softmax-function-and-sigmoid-function/ Difference Between Softmax Function And Sigmoid Function | Saimadhu Polamuri - Dataaspirant] | * [http://dataaspirant.com/2017/03/07/difference-between-softmax-function-and-sigmoid-function/ Difference Between Softmax Function And Sigmoid Function | Saimadhu Polamuri - Dataaspirant] | ||
| − | Function is used in various multiclass classification methods, such as multinomial logistic regression (also known as softmax regression), multiclass linear discriminant analysis, | + | Function is used in various multiclass classification methods, such as multinomial logistic regression (also known as softmax regression), multiclass linear discriminant analysis, [[Bayes#Naive Bayes|Naive Bayes]] classifiers, and artificial neural networks. |
http://i1.wp.com/dataaspirant.com/wp-content/uploads/2017/03/Softmax_Graph.png | http://i1.wp.com/dataaspirant.com/wp-content/uploads/2017/03/Softmax_Graph.png | ||
Revision as of 13:09, 11 October 2020
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- Dimensional Reduction
- Pooling / Sub-sampling: Max, Mean
- (Deep) Convolutional Neural Network (DCNN/CNN)
- Activation Functions
- Multi-Class Neural Networks: Softmax
- The Softmax Function, Simplified - How a regression formula improves accuracy of deep learning models | Hamza Mahmood - Towards Data Science
- Difference Between Softmax Function And Sigmoid Function | Saimadhu Polamuri - Dataaspirant
Function is used in various multiclass classification methods, such as multinomial logistic regression (also known as softmax regression), multiclass linear discriminant analysis, Naive Bayes classifiers, and artificial neural networks.
