The input to a convolutional layer of a neural network is an image of size $128\times 128\times 3.$
$ 40$ convolutional filters of size $5\times 5$ are applied to it. Would you get an output? If no then why not? If yes, what will be the output size?
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Yes, and it would be $124 \times 124 \times40$.
To calculate the output dimensions:
$(dim_x - filterdim_x + 1) \times (dim_y - filterdim_y + 1) \times filters$
in your case:
$(128 - 5 + 1) \times (128 - 5 + 1) \times 40 = 124 \times 124 \times40$
answered Feb 19, 2019 at 14:24
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$\begingroup$ It also depends on padding and stride parameters also @Simon. $\endgroup$ Jul 14, 2020 at 4:28
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