Model Diagnostics, Machine Learning.
deactivate neurons during training to prevent over-reliance on specific neurons (Dropout). Early Stopping : Monitor validation performance and stop training once performance on a separate validation set plateaus or starts to worsen. Data Augmentation: Collecting more diverse and representative data