Results for "regularization"

A scalar measure optimized during training, typically expected loss over data, sometimes with regularization terms.

Autoencoder using probabilistic latent variables and KL regularization.

Measure of vector magnitude; used in regularization and optimization.

Techniques that discourage overly complex solutions to improve generalization (reduce overfitting).