Python Deep Learning Cookbook

How to do it...

1. Import libraries and dataset:

import numpy as np from sklearn.model_selection import train_test_splitimport matplotlib.pyplot as plt# We will be using make_circles from scikit-learnfrom sklearn.datasets import make_circlesSEED = 2017

2. First, we need to create the training data:

# We create an inner and outer circleX, y = make_circles(n_samples=400, factor=.3, noise=.05, random_state=2017)outer = y == 0inner = y == 1

3. Let's plot the data to show the two classes:

plt.title("Two Circles")plt.plot(X[outer, 0], X[outer, 1], "ro")plt.plot(X[inner, 0], X[inner, 1], "bo")plt.show()

Figure 2.5: Example of non-linearly separable ...