GLOSSARY TERM
What is Dropout?
A regularization technique preventing neural networks from overfitting.
Dropout temporarily and randomly removes units, along with their connections, from a neural network during training. This prevents units from co-adapting too strongly, forcing the model to learn more robust features.
Robust Model Training
Implement enterprise-grade regularization strategies via our MLOps suite.