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  ## ⚠️ Limitations and Considerations
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  Input Dimensions: Make sure your input images are resized to the expected dimensions (100x100) before inference.
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  Number of Classes: The trained model supports exactly 7 classes as defined in the training dataset.
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  ## ⚠️ Limitations and Considerations
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  Input Dimensions: Make sure your input images are resized to the expected dimensions (100x100) before inference.
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  Number of Classes: The trained model supports exactly 7 classes as defined in the training dataset.
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+ Output: The model output should be a probability of each of the 7 face type labels. Don't forget to use the softmax function to make predictions. Note that softmax is not used in the last layer of this model's architecture.