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# Load a pre-trained model (example: VGG16) model = keras.applications.VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
import tensorflow as tf from tensorflow import keras from PIL import Image import numpy as np
# Normalize img_array = img_array / 255.0
# Load a pre-trained model (example: VGG16) model = keras.applications.VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))
import tensorflow as tf from tensorflow import keras from PIL import Image import numpy as np
# Normalize img_array = img_array / 255.0
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