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MSE
MSE
Sep 18, 2024
1 min read
loss
MSE
L
(
x
)
=
Σ
i
∣∣
D
(
E
(
x
i
))
∣
∣
2
MSE
=
N
1
Σ
i
=
1
N
(
p
(
x
i
)
−
y
i
)
2
loss converges to mean of targets
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1D-ALVINN
AutoEncoder
Huber/Smooth L1/Smooth MAE
Log Cosh
MSLE
Robust regression