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![[Figure 1]](te5128fig1mag.jpg)
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Figure 1
Traditional machine learning and deep learning for image classification. Both of these approaches extract key features from images and then use them to classify images by learning from training data. In traditional approaches these features are extracted using handcrafted algorithms, whereas in deep learning the features themselves are also learned during the training process. |
![[Figure 1]](te5128fig1.jpg)
 | JOURNAL OF APPLIED CRYSTALLOGRAPHY |
ISSN: 1600-5767
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