π Node [[mean_squared_error_(mse)]] βΆ subnode @KGBicheno/mean_squared_error_(mse)
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π Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Mean_Squared_Error_(Mse).md by @KGBicheno
Mean Squared Error (MSE)
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The average squared loss per example. MSE is calculated by dividing the squared loss by the number of examples. The values that TensorFlow Playground displays for "Training loss" and "Test loss" are MSE.
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