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Prompt: In Python language, wrte a function that applies the logistic sigmoid function to all elements of a NumPy array. Code:   import numpy as np import math import matplotlib.pyplot as plt import pandas as pd   def sigmoid(inputArray):         modifiedArray = np.zeros(len(inputArray))         #YOUR CODE HERE:         return(modifiedArray)   def test():   inputs = np.arange(-100, 100, 0.5) outputs = sigmoid(inputs) plt.figure(1) plt.plot(inputs) plt.title('Input') plt.xlabel('Index') plt.ylabel('Value') plt.show() plt.figure(2) plt.plot(outputs,'Black') plt.title('Output') plt.xlabel('Index') plt.ylabel('Value') plt.show()   test()

Prompt: In Python language, wrte a function that applies the logistic sigmoid function to all elements of a NumPy array. Code:   import numpy as np import math import matplotlib.pyplot as plt import pandas as pd   def sigmoid(inputArray):         modifiedArray = np.zeros(len(inputArray))         #YOUR CODE HERE:         return(modifiedArray)   def test():   inputs = np.arange(-100, 100, 0.5) outputs = sigmoid(inputs) plt.figure(1) plt.plot(inputs) plt.title('Input') plt.xlabel('Index') plt.ylabel('Value') plt.show() plt.figure(2) plt.plot(outputs,'Black') plt.title('Output') plt.xlabel('Index') plt.ylabel('Value') plt.show()   test()

C++ for Engineers and Scientists
C++ for Engineers and Scientists
4th Edition
ISBN:9781133187844
Author:Bronson, Gary J.
Publisher:Bronson, Gary J.
Chapter7: Arrays
Section: Chapter Questions
Problem 3PP: (Numerical) Given a one-dimensional array of integer numbers, write and test a function that...
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Prompt: In Python language, wrte a function that applies the logistic sigmoid function to all elements of a NumPy array.

Code:

 

import numpy as np

import math

import matplotlib.pyplot as plt

import pandas as pd

 

def sigmoid(inputArray):

 

      modifiedArray = np.zeros(len(inputArray))

 

      #YOUR CODE HERE:

 

      return(modifiedArray)

 

def test():

 

inputs = np.arange(-100, 100, 0.5)

outputs = sigmoid(inputs)

plt.figure(1)

plt.plot(inputs)

plt.title('Input')

plt.xlabel('Index')

plt.ylabel('Value')

plt.show()

plt.figure(2)

plt.plot(outputs,'Black')

plt.title('Output')

plt.xlabel('Index')

plt.ylabel('Value')

plt.show()

 

test()

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