A、sight
B、railway
C、place
D、order
第1题:
7 Soon,more of the information we receive via the internet could come _____in
di gital wrappers. Wrappers are made up ______ softwore code that’s targeted to do specific
things with the data _____within them such as helping to define queries for
search engines They also keep _____from_____access to that code.
(1) A.Package B.packaged C.packages D.packaging
(2)A.of B.off C.on D.out
(3)A.close B.closed C.enclose D.enclosed
(4)A.insiders B.money C.outsiders D.warehouse
(5)A.gain B.gained C.gains D.gaining
第2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]
第3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
第4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])
第5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)
第6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])