📚 node [[mean_squared_error_(mse)]]
📓 garden/KGBicheno/Artificial Intelligence/Introduction to AI/Week 3 - Introduction/Definitions/Mean_Squared_Error_(Mse).md by @KGBicheno

Mean Squared Error (MSE)

Go back to the [[AI Glossary]]

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.
📖 stoas
⥱ context
← back
(none)
↑ pushing here
(none)

↓ pulling this
(none)
→ forward
ai glossary

⥅ related node [[root_mean_squared_error_(rmse)]]
🔎 full text search for 'mean_squared_error_(mse)'