regularizer function
tungkulin ng regularisador
using a regularizer
paggamit ng regularisador
regularizer term
tadhane ng regularisador
add regularizer
magdagdag ng regularisador
regularizer weight
timbang ng regularisador
regularizer penalty
parusa ng regularisador
regularizer effect
epekto ng regularisador
regularizer parameter
parameter ng regularisador
the regularizer helped prevent overfitting in the model.
Nakatulong ang regularizer upang maiwasan ang overfitting sa modelo.
we used an l1 regularizer to encourage sparsity.
Gumamit kami ng l1 regularizer upang himukin ang sparsity.
adding a regularizer can improve generalization performance.
Ang pagdaragdag ng regularizer ay maaaring mapabuti ang pangkalahatang pagganap.
the weight decay regularizer penalized large weights.
Pinaparusahan ng weight decay regularizer ang malalaking weights.
we compared models with and without a regularizer.
Ikinausap namin ang mga modelo na mayroon at walang regularizer.
the regularizer minimized the complexity of the neural network.
Mininimisa ng regularizer ang pagiging kumplikado ng neural network.
ridge regression employs an l2 regularizer.
Gumagamit ang ridge regression ng l2 regularizer.
elastic net combines l1 and l2 regularizers.
Pinagsasama ng elastic net ang l1 at l2 regularizers.
the optimal regularizer parameter was determined empirically.
Natukoy ang pinakamainam na parameter ng regularizer nang empirically.
a strong regularizer can lead to underfitting.
Ang malakas na regularizer ay maaaring humantong sa underfitting.
regularizer function
tungkulin ng regularisador
using a regularizer
paggamit ng regularisador
regularizer term
tadhane ng regularisador
add regularizer
magdagdag ng regularisador
regularizer weight
timbang ng regularisador
regularizer penalty
parusa ng regularisador
regularizer effect
epekto ng regularisador
regularizer parameter
parameter ng regularisador
the regularizer helped prevent overfitting in the model.
Nakatulong ang regularizer upang maiwasan ang overfitting sa modelo.
we used an l1 regularizer to encourage sparsity.
Gumamit kami ng l1 regularizer upang himukin ang sparsity.
adding a regularizer can improve generalization performance.
Ang pagdaragdag ng regularizer ay maaaring mapabuti ang pangkalahatang pagganap.
the weight decay regularizer penalized large weights.
Pinaparusahan ng weight decay regularizer ang malalaking weights.
we compared models with and without a regularizer.
Ikinausap namin ang mga modelo na mayroon at walang regularizer.
the regularizer minimized the complexity of the neural network.
Mininimisa ng regularizer ang pagiging kumplikado ng neural network.
ridge regression employs an l2 regularizer.
Gumagamit ang ridge regression ng l2 regularizer.
elastic net combines l1 and l2 regularizers.
Pinagsasama ng elastic net ang l1 at l2 regularizers.
the optimal regularizer parameter was determined empirically.
Natukoy ang pinakamainam na parameter ng regularizer nang empirically.
a strong regularizer can lead to underfitting.
Ang malakas na regularizer ay maaaring humantong sa underfitting.
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