Building your first neural network

Now that we've learned what concepts CNTK offers to build a neural network, we can start to apply these concepts to a real machine learning problem. In this section, we'll explore how to use a neural network to classify species of iris flowers.

This is not a typical task where you want to use a neural network. But, as you will soon discover, the dataset is simple enough to get a good grasp of the process of building a deep learning model. Yet it contains enough data to ensure that the model works reasonably well.

The iris dataset describes the physical properties of different varieties of iris flowers:

• Sepal length in cm
• Sepal width in cm
• Petal length in cm
• Petal width in cm
• Class (iris setosa, iris versicolor, iris virginica)

The code for this chapter includes the iris dataset, on which you need to train the deep learning model...