---
title: 'Artificial Neural Networks Environment Setup'
tags: codata-rda, sords
---

# Commands to Run in a Terminal:

Just a reminder: **<span style="color:red"> this should be executed inside a terminal </span>**


The first commands will install R libraries that we will be using throughout the course.

sudo apt install r-cran-caret python3-pip

The libraries also depend on python libraries, thus we also need to install them. In order to do so, we should run the following command:

pip install --user tensorflow scipy matplotlib scikit-learn Pillow

# Commands to run in the R Console:

Just a reminder: **<span style="color:red"> this should be executed inside the R command line (console) </span>**


We will use the [Keras](https://keras.rstudio.com/) package for R, then we need to install it:

install.packages("keras")

# Check if the environment was correctly setup:

Type the following commands at the console (it is better to do it line by line):

library(caret)
library(keras)
keras_model_sequential()

The expected output should look like this:


# Slides:

The slides are available at [this link](https://raphaelmcobe.github.io/datatrieste/) and the source code used for this is available at [this repository](https://github.com/raphaelmcobe/datatrieste). You are more than welcome to reuse them as long as you mention where you've found them. (-: