A naukri.com initiative
Medium
1M
279
Image Credit: Medium
Generalization: Understanding CS229( Generalization and Regularization)
- The test error is the ultimate measure of how well the model generalizes.
- Generalization bounds establish bounds that relate the training error to the test error.
- The "double descent" phenomenon suggests that further scaling in model size may improve generalization.
- Regularization techniques like adding penalty terms can help mitigate overfitting and improve generalization.
Read Full Article
16 Likes
For uninterrupted reading, download the app