________ in the United States was set up to train men in music. A.A great many schoolsB.A many schoolC.Many schoolsD.Many a school

________ in the United States was set up to train men in music.

A.A great many schools

B.A many school

C.Many schools

D.Many a school


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

喷墨打印机的驱动程序安装可以运行()程序。 A.Setup.exeB.Set.exeC.Setup.prgD.Up.exe

Both leaders of two sides agreed to settle the dispute by peaceful means.A:solve B:finishC:unite D:stop

请在第______处填上正确答案。A.SeparatedB.TogetherC.FormedD.United

They agreed to settle the dispute by peaceful means.A:solve B:determineC:unite D:complete

7、下载波士顿房价数据集,将训练集放入test_x中,则执行______语句可以获得其中的前5行数据。A.print(train_x[:, 5])B.print(train_x[:, 4])C.print(train_x[0:5])D.print(train_x[:4])

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

下载波士顿房价数据集,将训练集放入test_x中,则执行______语句可以获得其中的前5行数据。A.print(train_x[:, 5])B.print(train_x[:, 4])C.print(train_x[0:5])D.print(train_x[:4])