sgd_step: Sgd_step

In EagerAI/fastai: Interface to 'fastai'

Sgd_step

Description

Sgd_step

Usage

sgd_step(p, lr, ...)

Arguments

p	p
lr	learning rate
...	additional arguments to pass

Value

None

Examples

## Not run: 

tst_param = function(val, grad = NULL) {
  "Create a tensor with `val` and a gradient of `grad` for testing"
  res = tensor(val) %>% float()

  if(is.null(grad)) {
    grad = tensor(val / 10)
  } else {
    grad = tensor(grad)
  }

  res$grad = grad %>% float()
  res
}
p = tst_param(1., 0.1)
sgd_step(p, 1.)


## End(Not run)

EagerAI/fastai documentation built on April 16, 2024, 12:01 p.m.