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tax regulariser
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regularisers apply
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we added a regulariser to the loss function to prevent overfitting.
Regulariseren hjælper med at forhindre overfitting under modellens træning.
the regulariser term penalises large weights, encouraging simpler models.
Vi justerede regulariserens styrke for at forbedre generaliseringen på ikke-sete data.
choosing the right regulariser strength is crucial for model generalisation.
Tilføj et regulariseringsterm til tabfunktionen for at stabilisere læringen.
in deep learning, l2 regulariser is widely used to constrain network parameters.
L2-regulariseringen straffer store vægte og reducerer variansen.
a dropout layer can act as a regulariser, reducing reliance on specific neurons.
De brugte en sparsity-regularisering for at fremme en kompakt repræsentation.
the researcher tuned the regulariser parameter using cross‑validation.
Vores regulariseringskoefficient var for høj, hvilket forårsagede underfitting.
our approach combines a sparsity‑inducing regulariser with the main objective.
Regulariseringen fungerer som en begrænsning, der afskrækker overdrevent komplekse løsninger.
when training data is limited, a regulariser helps to stabilise the learning process.
Vi sammenlignede forskellige valg af regularisering på tværs af flere baseline-modeller.
the regulariser effect is more pronounced when the model capacity is high.
En velvalgt regularisering kan øge robustheden over for støjende etiketter.
we compared several regularisers, including l1, l2, and elastic‑net.
Regulariseringstermen dominerer i starten, men aftager, efterhånden som tilpasningen forbedres.
the regulariser can be applied either to the input features or to the hidden units.
Vi fjernede regulariseringen, og modellen begyndte straks at overtilpasse.
implementing a regulariser in the loss yields smoother decision boundaries.
Brug en regulariseringsstraf for at holde parametrene inden for et rimeligt område.
regulariser rule
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tax regulariser
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regularisers apply
Danish_translation
regulariser function
Danish_translation
regularisers used
Danish_translation
regulariser method
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regulariser effect
Danish_translation
regularisers help
Danish_translation
we added a regulariser to the loss function to prevent overfitting.
Regulariseren hjælper med at forhindre overfitting under modellens træning.
the regulariser term penalises large weights, encouraging simpler models.
Vi justerede regulariserens styrke for at forbedre generaliseringen på ikke-sete data.
choosing the right regulariser strength is crucial for model generalisation.
Tilføj et regulariseringsterm til tabfunktionen for at stabilisere læringen.
in deep learning, l2 regulariser is widely used to constrain network parameters.
L2-regulariseringen straffer store vægte og reducerer variansen.
a dropout layer can act as a regulariser, reducing reliance on specific neurons.
De brugte en sparsity-regularisering for at fremme en kompakt repræsentation.
the researcher tuned the regulariser parameter using cross‑validation.
Vores regulariseringskoefficient var for høj, hvilket forårsagede underfitting.
our approach combines a sparsity‑inducing regulariser with the main objective.
Regulariseringen fungerer som en begrænsning, der afskrækker overdrevent komplekse løsninger.
when training data is limited, a regulariser helps to stabilise the learning process.
Vi sammenlignede forskellige valg af regularisering på tværs af flere baseline-modeller.
the regulariser effect is more pronounced when the model capacity is high.
En velvalgt regularisering kan øge robustheden over for støjende etiketter.
we compared several regularisers, including l1, l2, and elastic‑net.
Regulariseringstermen dominerer i starten, men aftager, efterhånden som tilpasningen forbedres.
the regulariser can be applied either to the input features or to the hidden units.
Vi fjernede regulariseringen, og modellen begyndte straks at overtilpasse.
implementing a regulariser in the loss yields smoother decision boundaries.
Brug en regulariseringsstraf for at holde parametrene inden for et rimeligt område.
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