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R Deep Learning Essentials - Second Edition
book

R Deep Learning Essentials - Second Edition

by Mark Hodnett, Joshua F. Wiley
August 2018
Intermediate to advanced
378 pages
9h 9m
English
Packt Publishing
Content preview from R Deep Learning Essentials - Second Edition

Different data distributions

In previous chapters, we used the MNIST dataset for classification tasks. While this dataset contains handwritten digits, the data is not representative of real-life data. In Chapter 5Image Classification Using Convolutional Neural Networks, we visualized some of the digits, if you go back and look at these images, it is clear that these images are in a standard format:

  • There are all grayscale
  • The images are all 28 x 28
  • The images all appear to have at border of at least 1 pixel
  • The images are all of the same scale, that is, each image takes up most of the image
  • There is very little distortion, since the border is black and the foreground is white
  • Images are the right way up, that is, we do not have any major ...
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Publisher Resources

ISBN: 9781788992893Supplemental Content