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...