Contains both CNN and CGAN models.
CGAN model output after 100 epochs run:
Loss: d1=0.675, d2=0.695 g=0.710 (where d1 is loss of discrimator on fake images; d2 is loss of discrimator on real images; g is loss of generator)
CGAN implementation
Contains both CNN and CGAN models.
CGAN model output after 100 epochs run:
Loss: d1=0.675, d2=0.695 g=0.710 (where d1 is loss of discrimator on fake images; d2 is loss of discrimator on real images; g is loss of generator)
CGAN implementation