Book Image

Artificial Intelligence with Python Cookbook

By : Ben Auffarth
Book Image

Artificial Intelligence with Python Cookbook

By: Ben Auffarth

Overview of this book

Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production.
Table of Contents (13 chapters)

Generating melodies

Artificial intelligence (AI) in music is a fascinating topic. Wouldn't it be cool if your favorite group from the 70s was bringing out new songs, but maybe more modern? Sony did this with the Beatles, and you can hear a song on YouTube, complete with automatically generated lyrics, called Daddy's car: https://www.youtube.com/watch?v=LSHZ_b05W7o.

In this recipe, we'll be generating a melody. More specifically, we'll be continuing a song using functionality in the Magenta Python library.

Getting ready

We need to install the Magenta library, and a few system libraries as dependencies. Please note that you need admin privileges in order to install system dependencies. If you are not on Linux (or *nix), you'll have to find the ones corresponding to your system.

On macOS, this should be relatively straightforward. Otherwise, it might be easier to run this in a Colab environment:

!apt-get update -qq && apt-get install -qq libfluidsynth1 fluid...