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Hands-On Deep Learning with TensorFlow

You're reading from   Hands-On Deep Learning with TensorFlow Uncover what is underneath your data!

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787282773
Length 174 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Van Boxel Dan Van Boxel
Author Profile Icon Dan Van Boxel
Dan Van Boxel
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Toc

Conventions

In this book, you will find a number of styles of text that distinguish between different kinds of information. Here are some examples of these styles, and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "The first thing you need to do is download the source code pack for this book and open the simple.py file."

A block of code is set as follows:

import tensorflow as tf
# You can create constants in TF to hold specific values
a = tf.constant(1)
b = tf.constant(2)

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

import tensorflow as tf
# You can create constants in TF to hold specific values
a = tf.constant(1)
b = tf.constant(2)

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

sudo pip3 install ./tensorflow-1.2.1-cp35-cp35m-linux_x86_64.whl

New terms and important words are shown in bold. Words that you see on the screen, in menus or dialog boxes for example, appear in the text like this: "Click on +New to create a new file. Here we'll create a Jupyter notebook".

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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