Hands-On Convolutional Neural Networks with TensorFlow

Building your first TensorFlow model

Without further ado, let's get stuck in with building your first ML model in TensorFlow.

The problem we will tackle in this chapter is that of correctly identifying the species of Iris flower from four given feature values. This is a classic ML problem that is extremely easy to solve, but will provide us with a nice way to introduce the basics of constructing graphs, feeding data, and training an ML model in TensorFlow.

The Iris dataset is made up of 150 data points, and each data point has four corresponding features: length, petal width, sepal length, and sepal width, along with the target label. Our task is to build a model that can infer the target label of any iris given only these four features. ...