APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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You have an input volume that is 63x63x16, and convolve it with 32 filters that are each 7x7, using a stride of 2 and no padding. What is the output volume?
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16x16x32
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29x29x16
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29x29x32
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16x16x16
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Explanation:
Detailed explanation-1: -CONV layer: This is where CNN learns, so certainly we’ll have weight matrices. To calculate the learnable parameters here, all we have to do is just multiply the by the shape of width m, height n, previous layer’s filters d and account for all such filters k in the current layer.
Detailed explanation-2: -We will be looking primarily at 2D convolutions on images. A 2D convolution filter like 3x3 will always have a third dimension in size. More items
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