Difference between revisions of "Softmax"
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* [[Pooling / Sub-sampling: Max, Mean]] | * [[Pooling / Sub-sampling: Max, Mean]] | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
| + | * [[Activation Functions]] | ||
* [http://developers.google.com/machine-learning/crash-course/multi-class-neural-networks/softmax Multi-Class Neural Networks: Softmax] | * [http://developers.google.com/machine-learning/crash-course/multi-class-neural-networks/softmax Multi-Class Neural Networks: Softmax] | ||
Revision as of 06:52, 13 August 2018
- Dimensional Reduction Algorithms
- Pooling / Sub-sampling: Max, Mean
- (Deep) Convolutional Neural Network (DCNN/CNN)
- Activation Functions
- Multi-Class Neural Networks: Softmax
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.
