activate: Activate

In brain-r/brain: Neural Network

Description

Activate the brain.

Usage

activate(brain, ..., scale = FALSE, name = "net", data = NULL,
  rate = NULL, print = FALSE)

activate_data(brain, data)

get_activations(brain)

Arguments

brain	An object of class brain as returned by brain.
...	Bare column name of input.
scale	Set to TRUE to scale the data with balance.
name	Name of element to activate net is the network/brain, you can also activate individual neuron.
data	A data.frame.
rate	Learning rate, if specified the brain propagates the error.
print	Whether to print the predictions.

Note

If rate is specified the network propagates the error, otherwise the error is not propagated.

Examples

train <- dplyr::tibble(
  x = rep(c(0, 0, 1, 1), 100),
  y = rep(c(0, 1, 0, 1), 100)
)

targets <- dplyr::tibble(
  z = rep(c(0, 1, 1, 0), 100)
)

brain() %>%
  perceptron(c(2,3,1)) %>%
  train_output(x, y, data = train) %>%
  activate_data(targets) %>%
  activate(z, rate = .003)

brain-r/brain documentation built on May 21, 2019, 4:05 a.m.