In the notation of filter f^[l] = 5. Does this mean a filter of size 5 x 5 x n where n = number of channels or does it mean a filter of size 5 x 5 ?
Hello Nithin,
It would be great if you could guide me to the Week-Video-Assignment that is related to your questions so I can help you more.
Thanks!
Course 4, week 1, “simple convolution network example” video at 2:49 Andrew says 5 x 5 filter but how is it possible to apply a 2D filter to a 3D volume. This is my exact doubt hope u clear my doubt.
Thanks!
This is a great question, my friend.
As you know, Andrew decided to use 5x5 filters with a stride of 2. Thus, he will be merging every five matrix cells into one and will move with a step of two cells.
We had 37 cells, if we divided them into groups of 5 and moved your stride with a step of two, you will be left with 17 cells. It would be helpful if you use a one-dimensional example where you have an array of 37 cells and you apply a 5 filter on it.
Good enough? If not, feel free to ask me to clarify more.
Regards,
The filters are always applied across all the input channels at once. In the example you show, the input is 39 x 39 x 3, so there are three input channels. Given the filter size of 3 for layer 1, then each filter is 3 x 3 x 3. Since there are a total of 10 filters, we end up with 10 channels in the second layer. In the second layer, the filter size is 5, so each filter is 5 x 5 x 10.
My doubt is clarified.
Thanks