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Why MSE 본문

Artificial Intelligence/Deep Learning Basic

Why MSE

Duke_Ryan 2025. 3. 30. 20:08

 

In MSE, we use the square of differences (hence "Square" in Mean Square Error).
This means that the number of classifications builds the dimensions(Vector) of our space. 
In this n-dimensional space, MSE measures the squared Euclidean distance between predicts vectors and label vectors.

This actually applies the Pythagorean theorem extended to n dimensions.

 

 

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