To get the most out of this book

The examples covered in this book can be run with Windows, Ubuntu, or Mac. All the installation instructions are covered. Basic knowledge of Python and machine learning is required. It's preferable that the reader has GPU hardware but it's not necessary.

Download the example code files

You can download the example code files for this book from your account at www.packtpub.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.packtpub.com.
2. Select the SUPPORT tab.
3. Click on Code Downloads & Errata.
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/Deep-Learning-for-Computer-Vision. We also have other code bundles from our rich catalog of books and videos available at https://github.com/PacktPublishing/. Check them out!

 

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: "Note that the graph is written once with the summary_writer."

A block of code is set as follows:

merged_summary_operation = tf.summary.merge_all()
train_summary_writer = tf.summary.FileWriter('/tmp/train', session.graph)
test_summary_writer = tf.summary.FileWriter('/tmp/test')

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

wget http://www.robots.ox.ac.uk/~vgg/data/pets/data/images.tar.gz
wget http://www.robots.ox.ac.uk/~vgg/data/pets/data/annotations.tar.gz

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: "Once you are done, terminate the instance by clicking Actions|Instance State|Terminat."

Warnings or important notes appear like this.

Tips and tricks appear like this.