TensorFlow 1.x Deep Learning Cookbook

How to do it...

Here is how we proceed with the recipe:

1. As before, we start by loading the necessary modules. We will require TensorFlow, NumPy, and Matplotlib as usual. In this recipe, we are working with the Iris dataset, which contains three classes of 50 instances each, where each class refers to a type of Iris plant. We can either download the data from https://archive.ics.uci.edu/ml/datasets/iris as a .csv file or we can use the dataset module of sklearn (scikit-learn)to do the task:

import numpy as npimport tensorflow as tfimport matplotlib.pyplot as pltfrom matplotlib.colors import ListedColormap# dataset Irisfrom sklearn import datasets%matplotlib inline

2. We load the dataset:

# import some data to play withiris = datasets.load_iris() ...