Difference between revisions of "Softmax"
| Line 3: | Line 3: | ||
* [[Max Pooling]] | * [[Max Pooling]] | ||
* [[Dimensional Reduction Algorithms]] | * [[Dimensional Reduction Algorithms]] | ||
| + | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
* [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 12:16, 28 July 2018
- Max Pooling
- Dimensional Reduction Algorithms
- (Deep) Convolutional Neural Network (DCNN/CNN)
- 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.
