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TensorFlow 2.0 Quick Start Guide

You're reading from  TensorFlow 2.0 Quick Start Guide

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789530759
Pages 196 pages
Edition 1st Edition
Languages
Author (1):
Tony Holdroyd Tony Holdroyd
Profile icon Tony Holdroyd

Table of Contents (15) Chapters

Preface Section 1: Introduction to TensorFlow 2.00 Alpha
Introducing TensorFlow 2 Keras, a High-Level API for TensorFlow 2 ANN Technologies Using TensorFlow 2 Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
Supervised Machine Learning Using TensorFlow 2 Unsupervised Learning Using TensorFlow 2 Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
Recognizing Images with TensorFlow 2 Neural Style Transfer Using TensorFlow 2 Recurrent Neural Networks Using TensorFlow 2 TensorFlow Estimators and TensorFlow Hub Converting from tf1.12 to tf2
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To get the most out of this book

Working knowledge of Python 3.6 is assumed, as is familiarity with the use of Jupyter Notebooks.

The book is written assuming that readers are happier with explanations given in the form of code snippets and complete programs than long textual explanations, which, of course, have their place in different styles of book.

Some familiarity with machine learning concepts and techniques is highly recommended, although not absolutely essential if the reader is willing to do a little reading around on the subjects.

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:

  1. Log in or register at www.packt.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-2.0-Quick-Start-Guide. 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 catalogue of books and videos available at https://github.com/PacktPublishing/. Check them out!

Download the color images

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: "Mount the downloaded WebStorm-10*.dmg disk image file as another disk in your system."

A block of code is set as follows:

image1 = tf.zeros([7, 28, 28, 3]) #  example-within-batch by height by width by color

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

r1 = tf.reshape(t2,[2,6]) # 2 rows 6 cols
r2 = tf.reshape(t2,[1,12]) # 1 rows 12 cols
r1
# <tf.Tensor: id=33, shape=(2, 6), dtype=float32,
numpy= array([[ 0., 1., 2., 3., 4., 5.], [ 6., 7., 8., 9., 10., 11.]], dtype=float32)>

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

var = tf.Variable([3, 3])

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: "Select System info from the Administration panel."

Warnings or important notes appear like this.
Tips and tricks appear like this.
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