DRAG DROP ("Note: This is an interactive item Follow the instructions to answer the question Scroll bars may appear it the windows are too smart Each window can be resized by dragging on the 5 circles located between windows) You are building a CNN for an image classification task Drag the layers on the left to the slots on the right in the appropriate order (from top to bottom) for this task You have the number of layers listed below • Input Layer (1) • Output Layer (1) • Convolutional Layer (1) • Fully Connected Layer(2> • Pooling Layer(1)
Q: 11
Drag & Drop
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Q: 12
HOTSPOT ("Not*: This is an interactive item Follow the instructions to answer the question Scroll bars may appear if the windows are too small Each window can be re-sized by dragging on the 5 circles located between windows) Complete the statement on the right with the options on the left.
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Q: 13
Refer to the exhibit.
The pixel intensity values for the top left corner of a 224x224 grey scale image are provided in Exhibit
A This image is provided as input to the convolutional filter (Exhibit B) with equal zero padding of size
2 on all sides
What is the first value in the feature map resulting from applying this filler (cross-correlation
operation)?
The pixel intensity values for the top left corner of a 224x224 grey scale image are provided in Exhibit
A This image is provided as input to the convolutional filter (Exhibit B) with equal zero padding of size
2 on all sides
What is the first value in the feature map resulting from applying this filler (cross-correlation
operation)?Options
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Q: 14
What sampling method does the DLTUNE action use to sample the hyper parameter values?
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Question 11 of 20 · Page 2 / 2

