Machine Learning with R Cookbook - Second Edition

How it works...

In this recipe, we demonstrate how to visualize the trained neural network and the generalized weights of each trained attribute. As per The plot of the trained neural network figure, the plot displays the network topology of the trained neural network. Also, the plot includes the estimated weight, intercepts and basic information about the training process. At the bottom of the figure, one can find the overall error and number of steps required to converge.

The preceding figure presents the generalized weight plot in regard to network$generalized.weights. The four plots in the preceding figure display the four covariates: Petal.Width, Sepal.Width, Petal.Length, and Petal.Width, in regard to the versicolor response. If all ...