Explain Neural-Network Regularization and Dropout

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Explain L1, L2, dropout scaling, train/inference behavior, early stopping, and the difference between gradient penalties and decoupled weight decay.

Explain Neural-Network Regularization and Dropout

Company: Snapchat

Role: Machine Learning Engineer

Category: Machine Learning

Difficulty: hard

Interview Round: Onsite

Overview: Explain L1, L2, dropout scaling, train/inference behavior, early stopping, and the difference between gradient penalties and decoupled weight decay.

Read the full Snapchat Machine Learning Engineer interview experience this question came from

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Sep 9, 2026
hardMachine Learning EngineerOnsiteMachine Learning
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