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Source code of MAP-NN paper
Hi,
When I printed the image shapes from each layer of the discriminator, I got something like this:
(256, 32, 32, 64)
(256, 16, 16, 64)
(256, 16, 16, 128)
(256, 8, 8, 128)
(256, 8, 8, 256)
(256, 4, 4, 256)
(256, 4, 4, 1024)
(256, 4, 4, 1)
I'm using batch size = 256 and image patch size 32x32.
I expect the last two output to have shapes (256, 1024) and (256, 1) after the dense layers.
Should there be a reshaping operator on the conv2d output before sending it into the dense layers?
Thanks!
Hi, when I tried to train the MAP-NN network with my own dataset, the generative error term gen_cost keot increasing, and then converge to a value. Is this suppose to be happen? The mse_cost term and edge_cost term did decrease and converge though.
你好,数据集是怎么构成的
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