Difference between revisions of "Softmax"
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Revision as of 22:45, 8 February 2023
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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.
