The examples covered in this book can be run with Windows, Ubuntu, or Mac. All the installation instructions are covered. You will need basic knowledge of Python, machine learning and deep learning, and familiarity with TensorFlow.

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

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: "The class TqdmUpTo is just a tqdm wrapper that enables the use of the progress display also for downloads."

A block of code is set as follows:

import numpy as np
import urllib.request
import tarfile
import os
import zipfile
import gzip
import os
from glob import glob
from tqdm import tqdm

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

epoch 01: precision: 0.064
epoch 02: precision: 0.086
epoch 03: precision: 0.106
epoch 04: precision: 0.127
epoch 05: precision: 0.138
epoch 06: precision: 0.145
epoch 07: precision: 0.150
epoch 08: precision: 0.149
epoch 09: precision: 0.151
epoch 10: precision: 0.152

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: "Select System info from the Administration panel."