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()
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Question
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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