Python Machine Learning Cookbook - Second Edition

How to do it...

Let's see how to build a deep neural network:

1. Create a new Python file, and import the following packages (the full code is given in the deep_neural_network.py file that is provided to you):

import neurolab as nl 
import numpy as np 
import matplotlib.pyplot as plt

2. Let's define parameters to generate some training data:

# Generate training data 
min_value = -12 
max_value = 12 
num_datapoints = 90

3. This training data will consist of a function we define that will transform the values. We expect the neural network to learn this on its own, based on the input and output values that we provide:

x = np.linspace(min_value, max_value, num_datapoints) 
y = 2 * np.square(x) + 7 
y /= np.linalg.norm(y) 

4. Reshape the arrays:

data = x.reshape(num_datapoints, ...