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Neural Networks with R
book

Neural Networks with R

by Balaji Venkateswaran, Giuseppe Ciaburro
September 2017
Beginner to intermediate
270 pages
5h 53m
English
Packt Publishing
Content preview from Neural Networks with R

The perceptron function in R

In the previous sections, we understood the fundamental concepts underlying the use of a perceptron as a classifier. The time has come to put into practice what has been studied so far. We will do it by analyzing an example in which we will try to classify the floral species on the basis of the size of the petals and sepals of an Iris. As you will recall, the iris dataset has already been used in Chapter 3, Deep Learning Using Multilayer Neural Networks. The reason for its re-use is not only due to the quality of the data contained in it that allows the reader to easily understand the concepts outlined, but also, and more importantly, to be able to compare the different algorithms.

As you will recall, the dataset ...

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Publisher Resources

ISBN: 9781788397872Supplemental Content