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A convolutional layer accepts a volume of size 100x1000. We use 14 filters of size 5x5 and skip everythree pixels. We zero pad by 2

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A convolutional layer accepts a volume of size 100x1000. We use 14 filters of size 5x5 and skip everythree pixels. We zero pad by 2 W- F- 5- P- Output volume size if the output volume is fed into a max pooling layer with a maxfiter of size 33 which skips every 2 pixels. What is the size of the volume after the max pooling layen W- F- 5- Output volume after the max pooling layers A convolutional layer accepts a volume of size 100x1000. We use 14 filters of size 5x5 and skip everythree pixels. We zero pad by 2 W- F- 5- P- Output volume size if the output volume is fed into a max pooling layer with a maxfiter of size 33 which skips every 2 pixels. What is the size of the volume after the max pooling layen W- F- 5- Output volume after the max pooling layers

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