We will now construct our very own DNN for a real-life problem: classification of flower types based on the measurements of petals. We will be working with the well-known Iris dataset for this. This dataset is stored as a comma-separated value (CSV) text file, with each line containing four different numerical values (petal measurements), followed by the flower type (here, there are three classes—Irissetosa, Irisversicolor, and Irisvirginica). We will now design a small DNN that will classify the type of iris, based on this set.
Before we continue, please download the Iris dataset and put it into your working directory. This is available from the UC Irvine Machine Learning repository, which can be found here: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data.
We will start by processing this file into appropriate data arrays that...
