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You need to use your understanding of the U - Net architecture to fill in missing elements of the dimensions of the activation ( fasture
You need to use your understanding of the UNet architecture to fill in missing elements of the
dimensions of the activation fasture maps at different levels of the encoder part, of the UNet given in the
diagram below. At any Activation Map, the dimensions can be written as n x n x d where n denotes the
lateral dimension assumed square and d denotes the number of maps planes All dimensions on the
decoder side are provided, you need to use these to obtain the missing dimensions on the encoder side.
There are levels at the encoder side where the dimensions always in the generic form nnd ar
missing, and these are denoted as C C C and C to the right of the shown maps, and Input, P P and P to the left of the same maps. Note that from the information provided in the figure, all the eight missing tuples of numbers each can be deciphered. All you need to do is to provide these sets of numbers, to be written as:
Input na x na x da;
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