A: What time does the train leave? B:(). A、On TuesdayB、In the morningC、At half past five
A: What time does the train leave? B:().
A、On Tuesday
B、In the morning
C、At half past five
相关考题:
I steer my ship with hope,________ fear ________ . A. leaving⋯awayB. leaving⋯behindC. leave⋯behindD. leave ⋯away
If it ( ) tomorrow, we ( ) to the Summer Palace. A、rains, will goB、won't rain, goC、doesn't rain, will go
Don't forget to _________ the key _________ me when you go out. A.leave...outB.leave...onC.leave...forD.leave...with
4.—_________ Mike________ his homework in the evening?—No,he doesn't.A. Do;doesB. Does;doC. Do;doD. Does;does
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".
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