October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Adding dropouts to prevent overfitting
The most popular method to prevent overfitting in neural networks is adding dropouts. In Chapter 2, Feed-Forward Neural Networks, we introduced dropouts, and we've used dropouts throughout the book. In the following recipe, we demonstrate, just like Chapter 2, Feed-Forward Neural Networks, the difference in performance when adding dropouts. This time, we will be using the cifar10 dataset.
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