Exam NCA-GENM Topic 1 Question 141 Discussion

Actual exam question for NVIDIA's NCA-GENM exam
Question #: 141
Topic #: 1
You are developing a generative A1 model for medical image segmentation using U-Net architecture. The input images are high- resolution MRI scans. Which of the following techniques would be MOST effective in mitigating the vanishing gradient problem during training, considering memory constraints on your GPU?

Suggested Answer: E Vote an answer

Vanishing gradients are a common issue in deep neural networks. Gradient clipping limits the magnitude of gradients, preventing them from becoming too large and destabilizing training. Leaky ReLU and ELU activations help maintain a non-zero gradient even for negative inputs, unlike ReLU. Skip connections are crucial to UNet but do not directly solve the vanishing gradient.

by Heather at Feb 03, 2026, 12:55 PM

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