Python Machine Learning Cookbook

Chapter 11. Deep Neural Networks

In this chapter, we will cover the following recipes:

• Building a perceptron
• Building a single layer neural network
• Building a deep neural network
• Creating a vector quantizer
• Building a recurrent neural network for sequential data analysis
• Visualizing the characters in an optical character recognition database
• Building an optical character recognizer using neural networks

Introduction

Our brain is really good at identifying and recognizing things. We want the machines to be able to do the same. A neural network is a framework that is modeled after the human brain to simulate our learning processes. Neural networks are designed to learn from data and recognize the underlying patterns. As with all learning algorithms, neural ...