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This example assumes you're working with images and using a pre-trained VGG16 model for feature extraction. The process might vary based on your specific requirements and data types.

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from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input import numpy as np This example assumes you're working with images and

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# Load the model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg')

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