Consider the following code snippet for modifying an AlexNet architecture to adapt it for a custom classification task with 10 output classes. Fill in the blank portion with the most appropriate code snippet.
Which of the following code snippets correctly fills the blank portion to modify the AlexNet classifier while preserving the pretrained feature extraction layers?
An RGB image of size 227 × 227 × 3 is first converted to grayscale and then passed through a 2D Convolutional Neural Network (CNN) layer with the following parameters:
– Kernel size: 3 × 3
– Stride: 1
– Padding: 1
– Number of filters: 16
What will be the shape of the output feature map?
(227, 227, 3)
(227, 227, 16)
(225, 225, 16)
(114, 114, 16)
0.25
0.29
0.45
0.21
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The IIT Madras BS Deep Learning Practice (Deep Learning Practice) End Term paper sat on 13 Apr 2025, in the January 2025 term: 20 questions for 100 marks in 180 minutes. The first 3 questions are below. Sign in with Google — it is free — to see the whole paper with its answers and explanations, in learning mode or as a timed mock test.
| Feature | Deep Learning Practice End Term 13 Apr 2025 at a glance |
|---|---|
| Term | January 2025 term |
| Subject | Deep Learning Practice |
| Course code | BSDA5013 |
| Questions | 20 |
| Marks | 100 |
| Duration | 180 min |
| MCQ | 15 |
| MSQ | 5 |
| Official paper | IIT M FOUNDATION AN EXAM QDF3 13 Apr 2025 |
| Negative marking | No negative marking. |
| Updated |
