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TensorFlow 2.0 Quick Start Guide

You're reading from   TensorFlow 2.0 Quick Start Guide Get up to speed with the newly introduced features of TensorFlow 2.0

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789530759
Length 196 pages
Edition 1st Edition
Languages
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Author (1):
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Tony Holdroyd Tony Holdroyd
Author Profile Icon Tony Holdroyd
Tony Holdroyd
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to TensorFlow 2.00 Alpha
2. Introducing TensorFlow 2 FREE CHAPTER 3. Keras, a High-Level API for TensorFlow 2 4. ANN Technologies Using TensorFlow 2 5. Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
6. Supervised Machine Learning Using TensorFlow 2 7. Unsupervised Learning Using TensorFlow 2 8. Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
9. Recognizing Images with TensorFlow 2 10. Neural Style Transfer Using TensorFlow 2 11. Recurrent Neural Networks Using TensorFlow 2 12. TensorFlow Estimators and TensorFlow Hub 13. Converting from tf1.12 to tf2
14. Other Books You May Enjoy

The code for our RNN example

This application is based on one provided by Google under an Apache 2 license.

As usual, we will break the code down into snippets and refer you to the repository for the license and the full working version. Firstly, we have module imports, as follows:

import tensorflow as tf
import numpy as np
import os
import time

Next, we have the download link for the text file.

You can easily change this to any text you wish by specifying the file name in file and the full URL of the file in url:

file='1400-0.txt'
url='https://www.gutenberg.org/files/1400/1400-0.txt' # Great Expectations by Charles Dickens

And then we set up the Keras get_file() utility for that file, shown as follows:

path = tf.keras.utils.get_file(file,url)

Then, we open and read the file and see how long it is, in characters:

text = open(path).read()
print ('Length of text...
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