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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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Viewing the original images

Next, we use calls to the two preceding functions to display our content and style images, remembering that the image pixels need to be of type unsigned 8-bit integer. The plt.subplot(1,2,1) function means use a grid of one row and two columns at position one; plt.subplot(1,2,2) means use a grid of one row and two columns at position two:

channel_means = [103.939, 116.779, 123.68] # means of the BGR channels, for VGG processing

plt.figure(figsize=(10,10))

content_image = load_image(content_path).astype('uint8')
style_image = load_image(style_path).astype('uint8')

plt.subplot(1, 2, 1)
show_image(content_image, 'Content Image')

plt.subplot(1, 2, 2)
show_image(style_image, 'Style Image')

plt.show()

The output is shown in the following screenshot:

There follows a function to load the image. As we are going to use this, as...

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