Ahemale Tube -

# Load the pre-trained VGG16 model model = VGG16(weights='imagenet', include_top=False, input_shape=(224, 224, 3))

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

Keep in mind that this is just a starting point, and you may need to adjust the architecture, hyperparameters, and preprocessing steps to suit your specific use case. # Load the pre-trained VGG16 model model =