The language for coding must be in pythonNeural Network UnitsImplement a single sigmoid neural network unit with weights of [-1.2, -1.1, 3.3, -2.1]Calculate the outputs for two training examples:Example 1: [0.9, 10.0, 3.1, 1]Example 2: [0.9, 2.1, 3.7, 1]Note that you don't have to explicitly include a threshold or bias since the examples include a last element of 1 which means that the last weight effectively operates as a threshold.Assuming that a sigmoid unit response >0.5 denotes a positive class and <0.5 is negative class, is example 1 positive or negative? is example 2 positive or negative?Create a single ReLU unit and provide the outputs for those examples.Calculate the derivative of the sigmoid with respect to net input for both examplesCalculate the derivative of the ReLU with respect to net input for both examples

Note: Answering the first three subparts : Task : Given the set of input, implement the…

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7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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The language for coding must be in python

Neural Network Units

Implement a single sigmoid neural network unit with weights of [-1.2, -1.1, 3.3, -2.1]
Calculate the outputs for two training examples:
Example 1: [0.9, 10.0, 3.1, 1]
Example 2: [0.9, 2.1, 3.7, 1]
Note that you don't have to explicitly include a threshold or bias since the examples include a last element of 1 which means that the last weight effectively operates as a threshold.
Assuming that a sigmoid unit response >0.5 denotes a positive class and <0.5 is negative class, is example 1 positive or negative? is example 2 positive or negative?
Create a single ReLU unit and provide the outputs for those examples.
Calculate the derivative of the sigmoid with respect to net input for both examples
Calculate the derivative of the ReLU with respect to net input for both examples

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