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）
which of the following can help train speaking? ()
A. Simon says.
B. Pairs finding.
C. Listen and follow instructions.
D. Match captions with pictures.
参考答案
更多 “ which of the following can help train speaking? () A. Simon says.B. Pairs finding.C. Listen and follow instructions.D. Match captions with pictures. ” 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
3．—Did you practice__________． English this morning?—Yes，but I forgot __________ the classroom．A． speak，cleaningB． to speak，to cleanC． speaking，cleaningD． speaking，to clean
考题
You’re going to have a quiz ( )by another two in the ( )month.
A. followed,followedB. followed,followingC. following,followedD. following,following
考题
The price you quoted is so high that we () help ()this transaction.A、can…to cancelB、can't...cancelingC、can…cancelingD、can't…to cancel
考题
When was Canada divided into Upper Canada(English-speaking)and Lower Canada(French-speaking)?（）AIn 1763BIn 1774CIn 1791DIn 1840
考题
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])
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
考题
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])
热门标签
最新试卷
