transfer: Transfer
In brain-r/brain: Neural Network

Description Usage Arguments Details Value Functions Examples

Copy, convert or load your network.

export(brain)

import(import)

copy(brain)

`brain`	An object of class `brain` as returned by `brain`.
`import`	An object of class `brain_export` as returned by `export`.

Training a large network may take some time, these functions allows you to export the trained brain to later import it, avoiding having to re-train it.

copy returns a copy of the brain, export returns a list of class brain_export that can be imported by import which returns a brain of class brain, just like brain.

export: Export the network to a list.
import: Import a pre-trained network.
copy: Copy the current network.

df <- dplyr::tibble(
  x = c(0, 0, 1, 1),
  y = c(0, 1, 0, 1),
  z = c(0, 1, 1, 0)
)

br <- brain() %>%
  perceptron(c(2,3,1)) %>%
  train_data(df) %>%
  train_input(x, y) %>%
  train_output(z) %>%
  train(
    cost = cost_function("mse")
  ) %>%
  export()

test_data <- dplyr::tibble(
  x = c(0, 0),
  y = c(0, 1)
)

import(br) %>%
  activate_data(test_data) %>%
  activate(x, y)