Choose
, since it gives the lowest training loss and allows the model to fit the data best.
Choose
, as it provides a reasonable compromise between model complexity and generalization.
Choose
, since it yields the lowest validation loss and achieves the best bias–variance trade-off.
Choose
, as it produces a highly regularized model that minimizes the risk of overfitting.
Consider a neural network as shown in the figure with 2 input neurons, a hidden layer with 2 neurons (ReLU), and 1 output neuron (sigmoid).
Weights are:
with no biases. Dropout probability is 0.5 on the hidden layer.
If the input vector
is fed to this network, what is the expected output while testing?
0.77
1.25
2.5
0.92
Which of the following statements are true about a Convolutional (CONV) layer?
The number of parameters depends on the depth of the input.
The number of filters determines the number of output channels.
The total number of parameters depends on the stride.
The total number of parameters depends on the padding.
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The IIT Madras BS Deep Learning (Deep Learning) Quiz 2 paper sat on 23 Nov 2025, in the September 2025 term: 15 questions for 40 marks in 120 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 Quiz 2 23 Nov 2025 at a glance |
|---|---|
| Term | September 2025 term |
| Subject | Deep Learning |
| Course code | BSCS3004 |
| Questions | 15 |
| Marks | 40 |
| Duration | 120 min |
| MCQ | 5 |
| MSQ | 5 |
| Numerical | 5 |
| Official paper | IIT M IMPROVEMENT AN EXAM QIA2 23 Nov 2025 |
| Negative marking | No negative marking. |
| Updated |
