网友您好, 请在下方输入框内输入要搜索的题目:

题目内容 (请给出正确答案)
A: How long does it take to go there by train? B:().

A、It is 20 pounds

B、It takes 20 hours

C、The training is very fast


参考答案

更多 “ A: How long does it take to go there by train? B:(). A、It is 20 poundsB、It takes 20 hoursC、The training is very fast ” 相关考题
考题 If it ( ) tomorrow, we ( ) to the Summer Palace. A、rains, will goB、won't rain, goC、doesn't rain, will go

考题 publicclassWow{publicstaticvoidgo(shortn){System.out.println(”short”);}publicstaticvoidgo(Shortn){System.out.println(”SHORT”);}publicstaticvoidgo(Longn){System.out.println(”LONG”);}publicstaticvoidmain(String[]args){Shorty=6;intz=7;go(y);go(z);}}Whatistheresult?()A.shortLONGB.SHORTLONGC.Compilationfails.D.Anexceptionisthrownatruntime.

考题 publicclassYikes{publicstaticvoidgo(Longn){System.out.println(”Long);}publicstaticvoidgo(Shortn){System.out.println(”Short);}publicstaticvoidgo(intn){System.out.println(”int);}publicstaticvoidmain(String[]args){shorty=6;longz=7;go(y);go(z);}}Whatistheresult?()A.intLongB.ShortLongC.Compilationfails.D.Anexceptionisthrownatruntime.

考题 ________ your mother ________ some cleaning on Sundays? A.Does…doesB.Do…doesC.Does…do

考题 4.—_________ Mike________ his homework in the evening?—No,he doesn't.A. Do;doesB. Does;doC. Do;doD. Does;does

考题 Which of the following may illustrate the difference between "competence" and__________ "performance"? A.What a person "knows" and what he/she "does". B.What a person "can do" and what he/she "does". C.What a person "does" and what he/she "knows". D.What a person "does" and what he/she "can do".

考题 下列词形变化中,运用了附加手段的是()A.pen-pens B.long-longer C.foot–feet D.man–men E.go–went

考题 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]

考题 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)

考题 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