Question 20
A ResNet bottleneck block takes 256 channels in and uses: 1×1 conv to 256 channels → 3×3 conv at 256 → 1×1 conv to 1024 channels. Ignore bias. Compute total parameters in these three convolutions (exclude projection shortcut).
A ResNet bottleneck block takes 256 channels in and uses: 1×1 conv to 256 channels → 3×3 conv at 256 → 1×1 conv to 1024 channels. Ignore bias. Compute total parameters in these three convolutions (exclude projection shortcut).
Correct answer: 917504
Question 20 of 23 in the IIT Madras BS Deep Learning for Computer Vision (Deep Learning for Computer Vision) Quiz 2 paper sat on 12 Apr 2026, in the January 2026 term (Deep Learning For Computer Vision 07 Apr 26). It carries 1 mark.