I applied data augmentation techniques to a CNN and trained it using flower images sourced from Google APIs. The purpose was to reduce overfitting and narrow the gap between training accuracy and validation accuracy.
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I applied data augmentation techniques to a CNN and trained it using flower images sourced from Google APIs. The purpose was to reduce overfitting and narrow the gap between training accuracy and validation accuracy.
iIMoRaD31/Data_Augmentation-
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I applied data augmentation techniques to a CNN and trained it using flower images sourced from Google APIs. The purpose was to reduce overfitting and narrow the gap between training accuracy and validation accuracy.
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