To follow along with the workshop you have two options:
- We will provide a cloud-base RStudio environment with everything pre-installed and datasets in place. We'll give you a URL and a login on the day and you'll only need a laptop with a web browser and ability to get on wifi.
- All of the models we're building will work on a laptop so if you want to follow along on your own machine then please follow the steps below:
- Install R from https://cran.r-project.org/
- RStudio desktop from https://www.rstudio.com
Install the following R packages from CRAN in the usual way:
install.packages(c("tidyverse", "rsample", "keras"))You'll also need the devel version of recipes:
require("devtools")
install_github("topepo/recipes")In an R session install the keras/tensorflow python libraries by running:
library(keras)
install_keras()This can take a while as it will install anaconda python at the same time. For further instructions please see https://keras.rstudio.com/ and follow the instructions there.
If it worked you should get:
library(keras)
is_keras_available()
[1] TRUE