# Load a pre-trained model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg')

from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input import numpy as np

# Extract features features = model.predict(x)

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# Load a pre-trained model for feature extraction model = VGG16(weights='imagenet', include_top=False, pooling='avg')

from tensorflow.keras.applications import VGG16 from tensorflow.keras.preprocessing import image from tensorflow.keras.applications.vgg16 import preprocess_input import numpy as np

# Extract features features = model.predict(x)

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