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 32x32x16, and apply max pooling with a stride of 2 and a filter size of 2. What is the output volume?
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15x15x16
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16x16x16
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32x32x8
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16x16x8
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Explanation:
Detailed explanation-1: -Example: Input volumn of 32x32x3, what is the output size if we’re to apply 10 5x5 filters with stride 1 and pad 2. And what is the total number of weights for this layer? The output width and the height will be ( 32-5 + 2 * 2 ) / 1 + 1 = 32 and the depth will be 10.
Detailed explanation-2: -Maximum pooling, or max pooling, is a pooling operation that calculates the maximum, or largest, value in each patch of each feature map. The results are down sampled or pooled feature maps that highlight the most present feature in the patch, not the average presence of the feature in the case of average pooling.
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