Design and Purchase Intention Analysis of Cultural and Creative Goods Based on Deep Learning Neural Networks

Table 2

Randomly extracted data.

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Import random

nNowCount = 0

forRandom_data = open (train_data, “W”)

For line in open (strFeatureMatNormal);

If listSerial [nNowCount] = = 1;

Fout Random_data.write (line)

nNowCount+ = 1

Print “Random_data is OK”

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