Explain in words the back-propagation neural network algorithm with a bulleted list of steps in an outline
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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
Related Book For
Statistics for Business and Economics
ISBN: 978-0134506593
13th edition
Authors: James T. McClave, P. George Benson, Terry Sincich
Posted Date:
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