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February 23, 2026 · 1 min read

Can you explain the concept of overfitting in deep learning and how you would address it during model training?

Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts its performance on new data. To address overfitting, techniques…

Debasis Bhattacharjee

SOFTWARE_ARCHITECT // AI_ENGINEER

📅 Feb 23, 2026 ⏱ 1 min read

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Can you explain the concept of overfitting in deep learning and how you would address it during model training?

COVER // CAN YOU EXPLAIN THE CONCEPT OF OVERFITTING IN DEEP LEARNING AND HOW YOU WOULD ADDRESS IT DURING MODEL TRAINING?

Overfitting occurs when a model learns the details and noise in the training data to the extent that it negatively impacts its performance on new data. To address overfitting, techniques such as using regularization methods like dropout, early stopping, and data augmentation are commonly employed.

deep-learning model training overfitting regularization

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