Python Machine Learning Cookbook

Building a deep neural network

We are now ready to build a deep neural network. A deep neural network consists of an input layer, many hidden layers, and an output layer. This looks like the following:

The preceding figure depicts a multilayer neural network with one input layer, one hidden layer, and one output layer. In a deep neural network, there are many hidden layers between the input and the output layers.

How to do it…

1. Create a new Python file, and import the following packages:

   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 ...