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  1. This demo shows how to detect the crack images using one-class SVM using MATLAB.

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  2. This is a simple example of video classification using LSTM with MATLAB.

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  3. This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input.

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  4. This demo shows how to interpret the classification by CNN using LIME (Local Interpretable Model-agnostic Explanations)

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  5. This example shows how to classify images for imbalanced training dataset using oversampling

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  6. Data Augmentation using Mix-up with Custom Training Loop

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