Question 1
Based on the above data, answer the given subquestions.
Deep Learning Practice End Term 13 Sept 2026 — Question 1
Show answer
Correct answer: 5808
Question 1 of 31 in the IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 13 Sept 2026, in the May 2026 term (Deep Learning Practice 13 Sep 26 (Session 2)). It carries 1 mark.
More questions from this paper
- Based on the above data, answer the given subquestions.
- Using the actual flattened feature size from previous question number 2, how many learnable parameters (weights + bias)…
- Which of the following statements about the (corrected) model are true?
- Figure question
- Figure question
- Which layer is responsible for the decoder failing to reach the target 96×96 output, and why?
- Figure question
- Figure question
- Figure question
- What is the parameter compression ratio (standard ÷ depthwise-separable), rounded to 2 decimal places?
- Figure question
- Which of the following statements correctly identify a real bug in the given code ?
- Based on the above data, answer the given subquestions.
- Based on the above data, answer the given subquestions.
- A convolutional layer receives a feature map with 24 input channels and applies 40 filters, each of spatial size 5 × 5.…
- A convolutional layer is applied to a 48 × 48 input using a 5 × 5 filter with zero-padding of 2 and stride 2. Using the…
- The final classification head applies a softmax over the pre-activation scores (logits). For a 3-class problem, the log…
- Following the VGG design philosophy of replacing a single large-kernel convolution with a cascade of small 3 × 3, strid…
- Figure question
- The decoder of a depth-estimation network upsamples feature maps using a transposed convolution ("up-convolution") with…
- In the original U-Net used for dense prediction (and adaptable to depth estimation), each encoder stage applies two suc…
- The SRGAN discriminator is a stack of 8 convolutional layers, all using 3 × 3 kernels with padding 1, and strides alter…
- Efficient restoration networks (e.g., LaKDNet) replace standard convolutions with depth-wise separable convolutions (a …
- Which of the following statements about the ResNet architecture and its standard training recipe are correct?
- Which of the following statements about the GoogLeNet / Inception architecture are correct?
- Which of the following statements correctly describe the Region Proposal Network (RPN) in Faster R-CNN?
- Which of the following statements about evaluating object detectors with mAP are correct?
- Which of the following statements correctly describe an encoder–decoder (U-Net style) architecture used for monocular d…
- Regarding the channel-attention module in CBAM, which of the following are correct?
- In the multi-scale deep network for single-image depth estimation (Eigen et al.), the architecture is split into a coar…