Sentence examples for training losses from inspiring English sources

Too early to react to spring training losses, he meant.

Spring training losses are overrated, but within the early wipeouts are signs of a larger organizational problem that may never actually manifest itself during the regular season.

From the combination of these, the goal is to learn the kernel mapping of the instances and the kernelized prediction model as to minimize the regularized training losses in both domains.

Here we show that, when normalized appropriately after training, deep networks trained on exponential type losses show a good linear dependence of test loss on training loss.

(Figure) Training loss for tuned momentum SGD, tuned Adam, and YellowFin on (left) 110-layer ResNet for CIFAR10 and (right) 164-layer ResNet for CIFAR100.

a Straight corridor training loss, b circular corridor training loss.

Even a spring training loss was something that would send Tony into a spiral of intensity.

When appropriate hyperparameter values are given, training loss is reduced in each iteration (Fig. 6, top graph); otherwise, regardless of how many iterations have been executed, training loss is not reduced (Fig. 6, bottom graph).

Here, we use l as the training loss function as above, and L is the real loss function for xgboost method.

Delpiano et al. [19], for instance, proposed a multi-objective approach for parameter estimation aiming at optimizing both the training loss and the computational load.

Prediction losses are incorporated into the learning process as to minimize training loss on both the labeled source and mapped labeled target instances for a prediction model trained on the source data.