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Why did not use Conv2DTranspose rather than Conv2D in the generator #24

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lestel opened this issue Mar 8, 2018 · 1 comment

lestel commented Mar 8, 2018 •

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the related paper all say they use Conv2DTranspose

NagabhushanSN95 commented Jul 31, 2019

Yes. That is one of their key contributions.
They say to

use strided convolutions instead of max-pooling layer
use cond2dTranspose instead of upsampling
use batch normalization layers
use relu activations for intermediate layers

@jacobgil You've implemented none of those. So, this is not DC GAN right?

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