人工智能培训 测试题 (四个阶段 全)

1. AC2.

1 2

(575) B3 D4

names = ['Amir', 'Barry', 'Chales', 'Dao'] if 'amir' in names: print(1) else: print(2) AC3.

numbers = [1, 2, 3, 4] numbers.append([5,6,7,8]) print(len(numbers))

A4 C4.

1

B2 D

An exception is thrown

B5 D6 Bint Dlist

8 Python

Achar Cfloat 5.

q=ex+yf=qzA3,3e3 C3,4e3

6.1

x=1,y=2,q=3,z=4

B4,e3 D4,4e3

6. CNNArelu Ctanh

Bsigmoid Dmaxout 6.2

7.

6-1

6-2

A

B

C

D 8.

CNNALeNet-5 CVGG

BAlexNet DResNet

9.

ACNN CGRU 10.

A112*112 C114*114 11.

OpenCV

227

227

B113*113 D115*115

Index

BDBD

BRNN DLSTM kernel size

5*5padding

1stride2

ABGR CGBR 12. pandas

Anumpy Cnumber 13. numpy

Aarange Creshape 14. numpy

Azeros Cempty 15. AC 16. 17. 18. 19. 20. a = [9,6,5,4,1] N = len(a) GPUGPU

TPUNPU

(DSP TPU

DSP 5250

RGB RBG list Dataframe

Series______ ______

______

BD

BD

reval random

ones arange AI

NPU

DSP

) BD

GPU

______________[1, 2, 3]*3 int(8**0.5) ______________________ ____________ alist[3:7]alist[3, 4, 5, 6, 7, 9, 11, 13, 15, 17]______________________ ______________________ for i in range(int(len(a) / 2)): a[i],a[N - i - 1] = a[N - i - 1],a[i] print (a) 1-5 cbbad 6-10 adabb 11-15 adcad 16 break

17 [1,2,3,1,2,3,1,2,3] 18 2

19 [6, 7, 9, 11] 20 [1, 4, 5, 6, 9]

1. pythonimport torch

rand_num=torch.rand(3,4) rand_num=rand_num.unsqueeze(0) print(rand_num.size())

Atorch.Size([1, 3, 4]) Btorch.Size([3, 4]) Ctorch.Size([3, 1, 4]) Dtorch.Size([3, 4, 1]) 2.

pytochvartensor

1

GPU

var=var.to(\

1080ti

____

(550 )

Avar=var.to(\Bvar=var.to(\Cvar=var.cuda()Dvar=var.cuda()3.

pytorchAmodel.eval()Bmodel.eval()Cmodel.eval()Dmodel.eval()4. flask

var=var.to(\var=var.to(\

model

model.eval()

Aapt-get install flask BCyum install flask D5.

Aapp.route(/user/username)

pip install flask wget install flask

Bapp.route(/user/) Capp.route(/user/) Dapp.route(/user/) 6.

AC

B D

k-means