We took ______ train to Wuhan, which arrived just as the sun rose. A. overnightB. midnightC. an overnightD. a overnight

We took ______ train to Wuhan, which arrived just as the sun rose.

A. overnight

B. midnight

C. an overnight

D. a overnight


相关考题:

If it ( ) tomorrow, we ( ) to the Summer Palace. A、rains, will goB、won't rain, goC、doesn't rain, will go

Mr Smith is coming to visit us soon.We'd better get everything ready before he _______. A.arrivesB.arriveC.will arriveD.arrived

Everything is ready. He is () Wuhan. A、going in forB、leaving toC、going off forD、leaving for

That is the reason()we’ve lost so many customers.A、 whyB、 thatC、 which

We()two railway tickets online this Monday.A. lookedB. bookedC. took

We’ve offered her the job,but I don’t know__________she’ll accept it.A.whereB.whatC.whetherD.which

The villagers have already known __________ we'll do is to build the bridge.A.thisB.thatC.whatD.which

在MINST数据集中,访问训练集train_x的第4个样本,可以通过_______语句实现。A.train_x[4]B.train_x[3]C.train_x[0:3]D.train_x[:4]

下列哪些语句会开始模型的训练:A.LinearRegression().fit(x_train,y_train)B.lr_mod.predict(x_train)C.lasso_mod.fit(x_train,y_train)D.vote_mod.predict(x_train)

5、对手写数字数据集MNIST中的train_x训练集(60000,28,28)进行切片,下面对切片结果描述错误的是_______。 import tensorflow as tf import numpy as np mnist = tf.keras.datasets.mnist (train_x, train_y), (test_x, test_y) = mnist.load_data()A.train_x[0, :, :]:第1张图片B.train_x[0:10, :, :]:前10张图片C.train_x[:, 0:28:2, :]:对所有图片隔行采样D.train_x[0:28:2, :, :]:对所有图片隔列采样