To get the most out of this book

Let's look at what you need to get the most out the book:

If you are using the digital version of this book, we advise you to type the code yourself or access the code via the GitHub repository (link available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

Download the example code files

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.packt.com/support and register to have the files emailed directly to you.

You can download the code files by following these steps:

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

The code bundle for the book is also hosted on GitHub at https://github.com/PacktPublishing/Applied-Deep-Learning-and-Computer-Vision-for-Self-Driving-Cars. 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!

Download the color images

We also provide a PDF file that has color images of the screenshots/diagrams used in this book. You can download it here: https://static.packt-cdn.com/downloads/9781838646301_ColorImages.pdf.

Conventions used

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: "In this function, anything below 0 will be set to 0."

A block of code is set as follows:

In[1]: import tensorflow as tf
In[2]: from tensorflow import keras
In[3]: from tensorflow.keras import layers

Bold: Indicates a new term, an important word, or words that you see onscreen. For example, words in menus or dialog boxes appear in the text like this. Here is an example: "The project is now called Waymo."