August 2018
Intermediate to advanced
438 pages
12h 3m
English
Content preview from Hands-On Transfer Learning with Python
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CIFAR-10
CIFAR-10 is one of the most widely used image datasets in the world of deep learning. Prepared by the Canadian Institute for Advanced Research, this is a fairly decent-sized dataset. The major advantage of this dataset is that it contains a balanced distribution of 10 non-overlapping categories. The images are of low resolution and size, and hence the dataset can be used on for training on fairly small memory footprint systems.
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