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Hands-On Deep Learning for Images with TensorFlow

You're reading from   Hands-On Deep Learning for Images with TensorFlow Build intelligent computer vision applications using TensorFlow and Keras

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Product type Paperback
Published in Jul 2018
Publisher Packt
ISBN-13 9781789538670
Length 96 pages
Edition 1st Edition
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Author (1):
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Will Ballard Will Ballard
Author Profile Icon Will Ballard
Will Ballard
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Toc

Image Data

In the previous chapter, we prepared our Machine Learning Toolkit, where we set up Keras and Docker in order to allow us to run Jupyter Notebooks to process machine learning.

In this chapter, we're going to look into preparing image data for use with machine learning and the steps that are involved in hooking that into Keras. We're going to start by learning about the MNIST digits. These are handwritten characters in the form of images that we're effectively going to perform Optical Character Recognition (OCR) on with machine learning. Then, we're going to talk about tensors. Tensors sounds like a math word, and it is really, but as a programmer, you've seen multidimensional arrays, so you've actually already been using tensors, and I'll show you the equivalency. Afterward, we're going to turn images into tensors. Images, as you...

You have been reading a chapter from
Hands-On Deep Learning for Images with TensorFlow
Published in: Jul 2018
Publisher: Packt
ISBN-13: 9781789538670
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