NPTEL Deep Learning Week 8 Assignment Solutions
NPTEL Deep Learning Week 8 Assignment Answers 2023
1.
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2. An RGB input image has been converted into a matrix of size 257 X 257 X 3 and a kernel/filter of size 7 X 7 X 3 with a stride of 2 and padding = 3 is used for 2D convolution. What will be the size of the output of convolution?
a. 129×129×1
b. 128×128×1
c. 254x254x3
d. 256x256x1
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3. Primary reason for adding pooling layers is?
a. Promote small shift invariance
b. Reduce computations for subsequent layers
c. To produce activations that summarize filter response in local windows.
d. Both b and c
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4.
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5. Suppose you have 8 convolutional kernel of size 5 x 5 with no padding and stride 1 in the first layer of a convolutional neural network. You pass an input of dimension 228 × 228 × 3 through this layer. What are the dimensions of the data which the next layer will receive?
a. 224 × 224 × 3
b. 224 × 224 x 8
c. 226 x 226 × 8
d. 225 x 225 x 3
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6. Choose the correct statement in context of transfer learning
a. Higher layers learn task specific features, where as lower layers learn general features
b. Transfer learning is generally used in situations when task specific dataset is very less
c. The weights of lower layers of pretrained CNN (trained on dataset like ImageNet etc) are copied and higher layers are random/gaussian initialized and entire
network is finetuned on smaller dataset
d. All of the above
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7. Advantage of ReLU over Sigmoid and TanH is
a. Low computational requirements
b. Alleviates vanishing gradient to some extent
c. Backpropagation is simpler
d. All of above
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8. Statement 1: For a transfer learning task, lower layers are more generally transferred to another task
Statement 2: For a transfer learning task, last few layers are more generally transferred to another task
Which of the following option is correct?
a. Statement 1 is correct and Statement 2 is incorrect
b. Statement 1 is incorrect and Statement 2 is correct
c. Both Statement 1 and Statement 2 are correct
d. Both Statement 1 and Statement 2 are incorrect
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9.
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10. How many convolution layers are there in a LeNet-5 architecture?
a. 2
b. 3
c. 4
d. 5
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