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@ -16,7 +16,28 @@ Machine learning is a vast and exiciting discipline, garnering attention from sp
5. Probit Regression 5. Probit Regression
6. CLogLog Regression 6. CLogLog Regression
2. ***Deep, Dynamically Size Neural Networks*** 2. ***Deep, Dynamically Size Neural Networks***
1. Possible Loss Functions 1. Possible Activation Functions
- Linear
- Sigmoid
- Swish
- Softplus
- CLogLog
- Gaussian CDF
- GELU
- Unit Step
- Sinh
- Cosh
- Tanh
- Csch
- Sech
- Coth
- Arsinh
- Arcosh
- Artanh
- Arcsch
- Arsech
- Arcoth
2. Possible Loss Functions
- MSE - MSE
- RMSE - RMSE
- MAE - MAE
@ -24,3 +45,13 @@ Machine learning is a vast and exiciting discipline, garnering attention from sp
- Log Loss - Log Loss
- Cross Entropy - Cross Entropy
- Hinge Loss - Hinge Loss
3. Possible Regularization Methods
- Lasso
- Ridge
- ElasticNet
4. Possible Weight Initialization Methods
- Uniform
- Xavier Normal
- Xavier Uniform
- He Normal
- He Uniform