Opening the paper…

Deep Learning Practice, End Term

May 2026 term, 13 Sept 2026, Set S2

Time left

03:00:00

Question 1

+1−0Numerical answer

Based on the above data, answer the given subquestions.

Your answer

Report a problem

to report a problem with this question.

Choose a question

Answered: 0
Not answered: 1
Marked for review: 0
Answered & marked for review: 0
Not visited: 30

Submit this paper?

You cannot change your answers after submitting.

Answered: 0
Not answered: 1
Marked for review: 0
Answered & marked for review: 0
Not visited: 30

Instructions

The palette shows the status of every question. Pick a number to go straight to it.

Answered: 0
Not answered: 1
Marked for review: 0
Answered & marked for review: 0
Not visited: 30

Save & Next moves to the next question. Answers are saved as you go.
Mark for Review & Next flags the question to come back to. A flagged answer still counts.
Clear Response removes your answer to the question on screen.
The ← and → keys move to the previous and next question.

Based on the above data, answer the given subquestions. Figure from the passage in the original paper Question text from the original paper, with its maths as pictures Based on the above data, answer the given subquestions. Figure from the passage in the original paper Question text from the original paper, with its maths as pictures Based on the above data, answer the given subquestions. Figure from the passage in the original paper Using the actual flattened feature size from previous question number 2, how many learnable parameters (weights + bias) would a fully connected layer with 10 outputs have?