xxxxxxxxxx
#working code
import tensorflow
from tensorflow import keras
from keras.preprocessing import image
from keras.layers import GlobalMaxPooling2D
from keras.applications import ResNet50,preprocess_input
model = ResNet50(weights='imagenet',include_top=False,input_shape=(224,224,3))
model.trainable = False
model= tensorflow.keras.Sequential([
model,
GlobalMaxPooling2D()
])
print(model.summary())