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Python Deep Learning - Second Edition
book

Python Deep Learning - Second Edition

by Ivan Vasilev, Daniel Slater, Gianmario Spacagna, Peter Roelants, Valentino Zocca
January 2019
Intermediate to advanced content levelIntermediate to advanced
386 pages
11h 13m
English
Packt Publishing
Content preview from Python Deep Learning - Second Edition

Using Keras to classify handwritten digits

In this section, we'll use Keras to classify the images of the MNIST dataset. It's comprised of 70,000 examples of handwritten digits by different people. The first 60,000 are typically used for training and the remaining 10,000 for testing:

Sample of digits taken from the MNIST dataset

One of the advantages of Keras is that it can import this dataset for you without needing to explicitly download it from the web (it will download it for you):

  1. Our first step will be to download the datasets using Keras:
from keras.datasets import mnist 
  1. Then, we need to import a few classes to use a feed-forward ...
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Publisher Resources

ISBN: 9781789348460Supplemental Content