Thanks! I have been using Module, but I’m not sure how to recreate the following network structure with it, which is why I wondered about filter.
This is the GAN generator (taken from Creative Adversarial Network 27 ):
" z ∈ R100 normally sampled from 0 to 1 is up-sampled to a 4× spatial extent convolutional representation with 2048 feature maps resulting in a 4 × 4 × 2048 tensor. Then a series of four fractionally-stride convolutions (in some papers, wrongly called deconvolutions). Finally, convert this high level representation into a 256 × 256 pixel image. In other words, starting from z ∈ R 100 → 4 × 4 × 1024 → 8 × 8 × 1024 → 16 × 16 × 512 →
32 × 32 × 256 → 64 × 64 × 128 → 128 × 128 × 64 → 256 × 256 × 3 (the generated image size)"
That’s the goal, although given hardware limitations I may have to change the above somehow to be compatible with 64x64 images.
Thanks again, and sorry for all the bother!