This book doesn't require any specific knowledge about music or machine learning to enjoy, as we'll be covering all the technical aspects regarding those two subjects throughout the book. However, we do assume that you have some programming knowledge using Python. The code we provide is thoroughly commented and explained, though, which makes it easy for newcomers to use and understand.

The provided code and content works on all platforms, including Linux, macOS, and Windows. We'll be setting up the development environment as we go along, so you don't need any specific setup before we start. If you already are using an Integrated Development Environment (IDE) and a DAW, you'll be able to use them during the course of this book.

You can download the example code files for this book from your account at www.packt.com. If you purchased this book elsewhere, you can visit www.packtpub.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

1. Log in or register at www.packt.com.
2. Select the Support tab.
3. Click on Code Downloads.
4. Enter the name of the book in the Search box and follow the onscreen instructions.

Once the file is downloaded, please make sure that you unzip or extract the folder using the latest version of:

• WinRAR/7-Zip for Windows
• Zipeg/iZip/UnRarX for Mac
• 7-Zip/PeaZip for Linux

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Hands-On-Music-Generation-with-Magenta. In case there's an update to the code, it will be updated on the existing GitHub repository.

We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: http://www.packtpub.com/sites/default/files/downloads/9781838824419_ColorImages.pdf.

There are a number of text conventions used throughout this book.

CodeInText: Indicates code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles. Here is an example: "Each time the step operation is called, the RNN needs to update its state, the hidden vector, h."

A block of code is set as follows:

import os
import magenta.music as mm

mm.notebook_utils.download_bundle("drum_kit_rnn.mag", "bundles")
bundle = mm.sequence_generator_bundle.read_bundle_file(
    os.path.join("bundles", "drum_kit_rnn.mag"))

When we wish to draw your attention to a particular part of a code block, the relevant lines or items are set in bold:

> drums_rnn_generate --helpfull

    USAGE: drums_rnn_generate [flags]
    ...

magenta.models.drums_rnn.drums_rnn_config_flags:
    ...

magenta.models.drums_rnn.drums_rnn_generate:
    ...

Any command-line input or output is written as follows:

> drums_rnn_generate --bundle_file=bundles/drum_kit_rnn.mag --output_dir output

Bold: Indicates a new term, an important word, or words that you see on screen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "The main reason to stick with bar throughout this book is to follow Magenta's code convention, where bar is used more consistently than measure."