MSE
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Multiple Linear regressionMLAI/Regression 2020. 1. 19. 00:01
1. Overview Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. The goal of multiple linear regression (MLR) is to model the linear relationship between the explanatory (independent) variables and response (dependent) variable. 2. Description 2.1 Formula 2.1.1..
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Error MetricsMLAI 2019. 12. 19. 18:25
1. Overview An Error Metric is a type of Metric used to measure the error of a forecasting model. They can provide a way for forecasters to quantitatively compare the performance of competing models. These are also called loss functions. 2. Description 2.1 Error (Residual Error) $$Error=y-\hat{y}$$ Where actual values are denoted by y. Predicted values are denoted by $\hat{y}$ Ideal condition (h..
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Softmax and Cross-Entropy with CNNMLAI/DeepLearning 2019. 10. 16. 15:56
1. Overview 2. Description How come two output values add up to one? 2.1 Softmax function(Normalized exponential function) $$f_{j}(z)=\frac{e^{zj}}{\sum_{k}e^{zk}}$$ Normally, the dog and the cat neurons would have any kind of real values. Applying the softmax function which is written up over there at the top, and that would bring these values to be between zero and one and it would make them a..