from keras.applications import VGG16

conv_base = VGG16(weights='imagenet', include_top=False, input_shape=(150, 150, 3))
conv_base.summary()

conv_base.trainable = False

from keras.applications import VGG16

conv_base = VGG16(weights='imagenet', include_top=False, input_shape=(150, 150, 3))
conv_base.summary()

conv_base.trainable = False
