To understand all the steps in the code just proposed, we will look at them in detail. Do not worry if a few steps seem unclear at this time, you will be able to look into it in the following examples. First, the code snippet will be shown, and the explanation will follow:
library("neuralnet")
The line in R includes the library neuralnet() in our program. neuralnet() is part of Comprehensive R Archive Network (CRAN), which contains numerous R libraries for various applications.
mydata=read.csv('Squares.csv',sep=",",header=TRUE)mydataattach(mydata)names(mydata)
This reads the CSV file with separator ,(comma), and header is the first line in the file. names() would display the header of the file.
model=neuralnet(formula ...
