dropoutilla
Dropoutilla is a fictional concept often encountered in online discussions and educational materials about neural network regularization. The term fuses dropout, a standard regularization technique, with the diminutive suffix -illa, implying a smaller-scale or more localized application than conventional dropout.
In the imagined Dropoutilla framework, dropout is applied to subcomponents within a layer rather than to whole
Origins and usage: Dropoutilla does not represent a standardized method in peer-reviewed literature. It appears mainly
Evaluation and limitations: As a hypothetical construct, it has no consensus on optimal probabilities or implementation