Difference between revisions of "Softmax"
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[http://www.google.com/search?q=Softmax+Dimensional+Reduction+Algorithm+deep+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=Softmax+Dimensional+Reduction+Algorithm+deep+machine+learning+ML+artificial+intelligence ...Google search] | ||
| − | * [[Dimensional Reduction | + | * [[Dimensional Reduction]] |
* [[Pooling / Sub-sampling: Max, Mean]] | * [[Pooling / Sub-sampling: Max, Mean]] | ||
* [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | * [[(Deep) Convolutional Neural Network (DCNN/CNN)]] | ||
Revision as of 21:58, 27 June 2019
Youtube search... ...Google search
- Dimensional Reduction
- 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.
