fastai: GANLearner_wgan – R documentation

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fastai

GANLearner_wgan

Wgan

Description

Create a WGAN from 'data', 'generator' and 'critic'.

Usage

GANLearner_wgan(
  dls,
  generator,
  critic,
  switcher = NULL,
  clip = 0.01,
  switch_eval = FALSE,
  gen_first = FALSE,
  show_img = TRUE,
  cbs = NULL,
  metrics = NULL,
  opt_func = Adam(),
  lr = 0.001,
  splitter = trainable_params,
  path = NULL,
  model_dir = "models",
  wd = NULL,
  wd_bn_bias = FALSE,
  train_bn = TRUE,
  moms = list(0.95, 0.85, 0.95)
)

Arguments

`dls`	dataloader
`generator`	generator
`critic`	critic
`switcher`	switcher
`clip`	clip value
`switch_eval`	switch evaluation
`gen_first`	generator first
`show_img`	show image or not
`cbs`	callbacks
`metrics`	metrics
`opt_func`	optimization function
`lr`	learning rate
`splitter`	splitter
`path`	path
`model_dir`	model directory
`wd`	weight decay
`wd_bn_bias`	weight decay bn bias
`train_bn`	It controls if BatchNorm layers are trained even when they are supposed to be frozen according to the splitter.
`moms`	momentums

Value

None

Examples

## Not run: 

learn = GANLearner_wgan(dls, generator, critic, opt_func = partial(Adam(), mom=0.))


## End(Not run)

fastai

Interface to 'fastai'

v2.0.7

Apache License 2.0

Authors

Turgut Abdullayev [ctb, cre, cph, aut]

Initial release

GANLearner_wgan

Description

Usage

Arguments

Value

Examples

fastai

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