Explain in words the back-propagation neural network algorithm with a bulleted list of steps in an outline fashion, and explain the reason for the last data column in Figure 3.

 

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import random from sklearn.cluster import KMeans as kmeans import numpy as np import matplotlib.pyplot as plot DATAPOINTS=20 studentno = 1234567 studentno = int (input( Please enter your student number: )) random.seed (studentno % 10000) coll [random. randint (0, studentno) for i in range (0, DATAPOINTS) ] random.seed (studentno co12 = [random.randint(0, 1000) studentno) for i in range (0, DATAPOINTS) ] 100) random.seed (studentno col3 = [random. randint (0, studentno) for i in range (0, DATAPOINTS)] random.seed (studentno 10) DATAPOINTS)] co15 [random.randint (0, studentno) for i in range (0, DATAPOINTS)] col6 = [i 3 for i in range (0, DATAPOINTS) ] sdata open ( data.txt , [print ( %s, s, 3, 4, o, & (str (coll [1]), str (co12[i]), str (co13[i]), str (co14 [i]), str (co15 [i]), str (col6 [i])), file=sdata) for i in range ( DATAPOINTS)] co14 = [random.randint(0, studentno) for i in range (0,1 random.seed (studentno % 100000) t Figure 3: Data generation algorithm for Practical 2 hand-in import random from sklearn.cluster import KMeans as kmeans import numpy as np import matplotlib.pyplot as plot DATAPOINTS=20 studentno = 1234567 studentno = int (input( Please enter your student number: )) random.seed (studentno % 10000) coll [random. randint (0, studentno) for i in range (0, DATAPOINTS) ] random.seed (studentno co12 = [random.randint(0, 1000) studentno) for i in range (0, DATAPOINTS) ] 100) random.seed (studentno col3 = [random. randint (0, studentno) for i in range (0, DATAPOINTS)] random.seed (studentno 10) DATAPOINTS)] co15 [random.randint (0, studentno) for i in range (0, DATAPOINTS)] col6 = [i 3 for i in range (0, DATAPOINTS) ] sdata open ( data.txt , [print ( %s, s, 3, 4, o, & (str (coll [1]), str (co12[i]), str (co13[i]), str (co14 [i]), str (co15 [i]), str (col6 [i])), file=sdata) for i in range ( DATAPOINTS)] co14 = [random.randint(0, studentno) for i in range (0,1 random.seed (studentno % 100000) t Figure 3: Data generation algorithm for Practical 2 hand-in

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A neural network is a group of connected IO units where each connection has a weight associated with its computer programs It helps you to build predictive models from large databases This model build... View the full answer