You're reading from Artificial Intelligence with Python Your complete guide to building intelligent apps using Python 3.x

Product type Paperback

Published in Jan 2020

Publisher Packt

ISBN-13 9781839219535

Length 618 pages

Edition 2nd Edition

Languages

Python

Tools

TensorFlow

Concepts

Artificial Intelligence

Authors (2):

Prateek Joshi

Alberto Artasanchez

View More author details

Table of Contents (26) Chapters

Preface

1. Introduction to Artificial Intelligence

2. Fundamental Use Cases for Artificial Intelligence FREE CHAPTER

3. Machine Learning Pipelines

4. Feature Selection and Feature Engineering

5. Classification and Regression Using Supervised Learning

6. Predictive Analytics with Ensemble Learning

7. Detecting Patterns with Unsupervised Learning

8. Building Recommender Systems

9. Logic Programming

10. Heuristic Search Techniques

11. Genetic Algorithms and Genetic Programming

12. Artificial Intelligence on the Cloud

13. Building Games with Artificial Intelligence

14. Building a Speech Recognizer

15. Natural Language Processing

16. Chatbots

17. Sequential Data and Time Series Analysis

18. Image Recognition

19. Neural Networks

20. Deep Learning with Convolutional Neural Networks

21. Recurrent Neural Networks and Other Deep Learning Models

22. Creating Intelligent Agents with Reinforcement Learning

23. Artificial Intelligence and Big Data

24. Other Books You May Enjoy

25. Index

Constructing a multi-layer neural network

So, we enhanced our model from a few nodes to a single-layer, but we are still far away from 85 billion nodes. We won't get to that in this section either, but let's take another step in the right direction. The human brain does not use a single-layer model. The output from some neurons becomes the input for other neurons and so on. A model that has this characteristic is known as a multi-layer neural network. This type of architecture yields higher accuracy, and it enables us to solve more complex and more varied problems. Let's see how we can use NeuroLab to build a multi-layer neural network.

Create a new Python file and import the following packages:

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

In the previous two sections, we saw how to use a neural network as a classifier. In this section, we will see how to use a multi-layer neural network as a regressor. Generate...