Cycle_learner
Initialize and return a 'Learner' object with the data in 'dls', CycleGAN model 'm', optimizer function 'opt_func', metrics 'metrics',
cycle_learner( dls, m, opt_func = Adam(), show_imgs = TRUE, imgA = TRUE, imgB = TRUE, show_img_interval = 10, ... )
dls |
dataloader |
m |
CycleGAN model |
opt_func |
optimizer |
show_imgs |
show images |
imgA |
image a (from) |
imgB |
image B (to) |
show_img_interval |
show images interval rafe |
... |
additional arguments |
and callbacks 'cbs'. Additionally, if 'show_imgs' is TRUE, it will show intermediate predictions during training. It will show domain B-to-A predictions if 'imgA' is TRUE and/or domain A-to-B predictions if 'imgB' is TRUE. Additionally, it will show images every 'show_img_interval' epochs. ' Other 'Learner' arguments can be passed as well.
None
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