Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
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Constructing a single-layer neural network

Having a model that has a few perceptrons is a good start and it allowed us to get a fundamental understanding of this exciting concept, but to really solve problems, such a simple model will not be sufficient. The human brain has approximately 85 billion neurons. We won't be building a neural network that has that many nodes, but this number gives you an idea of what it takes to solve complicated problems. Before we build a model with billions of nodes, let's take the next step to building a network with a single-layer. This single-layer neural network consists of independent neurons acting on input data to produce an output. Let's get to it.

Create a new Python file and import the following packages:

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

We will use the input data from the file data_simple_nn.txt provided to you. Each line in this file contains four numbers. The...