The()are having a parade at the North Pole when the train arrives.
A、Santa# #elves
B、reindeer
C、theConductor
第1题:

A.Direction d = NORTH;
B.Nav.Direction d = NORTH;
C.Direction d = Direction.NORTH;
D.Nav.Direction d = Nav.Direction.NORTH;
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:
If a weather bulletin shows the center of a low pressure system to be 100 miles due east of you, what winds can you expect in the Southern Hemisphere? ______.
A.South-southwesterly
B.North-northwesterly
C.South-southeasterly
D.North-northeasterly
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)