December 2017
Intermediate to advanced
536 pages
14h 23m
English
Content preview from TensorFlow 1.x Deep Learning Cookbook
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How it works...
The preceding code performs dimensionality reduction on the MNIST images. Each original image is of size 28 x 28; using the PCA method, we can reduce it to a smaller size. Normally, for image data, dimensionality reduction is necessary. This is so because images are large in size and contain a significant amount of redundant data.
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