Hands-On Convolutional Neural Networks with TensorFlow

Creating TensorFlow graphs

Now that our data is all set up, we can construct our model that will learn how to classify iris flowers. We'll construct one of the simplest machine learning models—a linear classifier, as follows:

A linear classifier works by calculating the dot product between an input feature vector x and a weight vector w. After calculating the dot product, we add a value to the result called a bias term b. In our case, we have three possible classes any input feature vector could belong to, so we need to compute three different dot products with w¹, w², and w³ to see which class it belongs to. But, rather than writing out three ...