Exam NCA-GENM Topic 1 Question 57 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 57
Topic #: 1
Which of the following are valid techniques for dealing with overfitting in a deep learning model trained on image data?

Suggested Answer: B,C,E Vote an answer

Overfitting occurs when a model learns the training data too well and performs poorly on unseen data. L1/L2 regularization penalizes large weights, preventing the model from becoming too complex. Data augmentation increases the Size and diversity of the training data, reducing overfitting. Dropout randomly deactivates neurons during training, preventing co-adaptation and improving generalization. Increasing model complexity or reducing training data would likely worsen overfitting.

by Jenny at Jan 07, 2026, 02:01 AM

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