cycle_learner {fastai}

Cycle_learner

Description

Initialize and return a 'Learner' object with the data in 'dls', CycleGAN model 'm', optimizer function 'opt_func', metrics 'metrics',

Usage

cycle_learner(
  dls,
  m,
  opt_func = Adam(),
  show_imgs = TRUE,
  imgA = TRUE,
  imgB = TRUE,
  show_img_interval = 10,
  ...
)

Arguments

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

Details

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.

Value

None