Code for solution: import keras NUM_WORDS=1000 # only use top 1000 words INDEX_FROM=3 # word index offset train,test = keras.datasets.imdb.load_data(num_words=NUM_WORDS, index_from=INDEX_FROM) train_x,train_y = train test_x,test_y = test word_to_id = keras.datasets.imdb.get_wor...
将from keras.preprocessing import sequence 改成from tensorflow.keras.preprocessing import sequence