October 2017
Intermediate to advanced
330 pages
7h 7m
English
Content preview from Python Deep Learning Cookbook
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Making a model more robust with data augmentation
A popular method to boost the performance of a network for computer vision tasks is to add data augmentation. By using data augmentation during training time, you can increase the size of the training set. As a consequence, you make your model more robust to slight variations in the training data. In Chapter 7, Computer Vision, we demonstrated some data augmentation techniques. In the following recipe, we will be using Keras and its ImageDataGenerator for data augmentation.
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