Use Data Augmentation to Avoid Overfitting

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Data augmentation can improve generalization and avoid overfitting, especially when your dataset is small.pythonCopy codefrom tensorflow.keras.preprocessing.image import ImageDataGenerator datagen = ImageDataGenerator( rotation_range=40, width_shift_range=0.2, height_shift_range=0.2, shear_range=0.2, zoom_range=0.2, horizontal_flip=True, fill_mode='nearest' )

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