Machine Learning, Data Science, Ai Programming, Model Performance, Tech Education.
numpy as np # Load pre-trained VGG16 model base_model = VGG16(weights='imagenet') # Remove the last layer of the model base_model.layers.pop() base_model = Model(inputs=base_model.inputs, outputs=base_model.layers[-1].output) # Preprocess input image img = image.load_img('image.jpg',