model = Model(inputs=inputs, outputs=outputs)
# Base model base_model = VGG16(weights='imagenet', include_top=False, input_tensor=inputs) kjbennet foursome and facial at end2440 min top
# Freeze base layers for layer in base_model.layers: layer.trainable = False model = Model(inputs=inputs
# Assuming input shape is 224x224 RGB images input_shape = (224, 224, 3) kjbennet foursome and facial at end2440 min top
