Part1 (Numpy) : Write a Python program as Jupyter Notebook to accomplish the following tasks: Create a random Matrix of 10x10 using numpy.random.rand function, and store this Matrix into Variable name W1. Create a random Matrix of 10x1 using numpy.random.rand function, and store this vector into Variable name b1. Create a random Matrix of 10x10 using numpy.random.rand function, and store this Matrix into Variable name W2. Create a random vector of 10x1 using numpy.random.rand function, and store this vector into Variable name b2. Perform matrix multiplication: output =W1 × b1 using for loops to iterate through the column and rows. Do not use any built-in NumPy functions. Perform matrix multiplication: output =W1 × b1 using built-in NumPy function numpy.dot. Repeat step 5 and step 6 for W2, and b2. Part2 (Matplotlib and Numpy) : Write a Python program as Jupyter Notebook to accomplish the following tasks: Use linspace function in numpy to create 400 points from (-4π) to (4π) , and store them in variable x. Use sin function to compute y1. Use cos function to compute y2. Use plot function to plot x vs y1, and x vs y2 in the same plot. Make the title of the plot as your name. Using subplot to plot two subplots, the first one x vs y1, and the second one is x vs y2. Make the title of the first subplot as your full name, and title of the second subplot as your z number. You have to label x axis and y axis in all graphes.

Computer Networking: A Top-Down Approach (7th Edition)

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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Part1 (Numpy) : Write a Python program as Jupyter Notebook to accomplish the following tasks:

Create a random Matrix of 10x10 using numpy.random.rand function, and store this Matrix into Variable name W1.
Create a random Matrix of 10x1 using numpy.random.rand function, and store this vector into Variable name b1.
Create a random Matrix of 10x10 using numpy.random.rand function, and store this Matrix into Variable name W2.
Create a random vector of 10x1 using numpy.random.rand function, and store this vector into Variable name b2.
Perform matrix multiplication: output =W1 × b1 using for loops to iterate through the column and rows. Do not use any built-in NumPy functions.
Perform matrix multiplication: output =W1 × b1 using built-in NumPy function numpy.dot.
Repeat step 5 and step 6 for W2, and b2.

Part2 (Matplotlib and Numpy) : Write a Python program as Jupyter Notebook to accomplish the following tasks:

Use linspace function in numpy to create 400 points from (-4π) to (4π) , and store them in variable x.
Use sin function to compute y1.
Use cos function to compute y2.
Use plot function to plot x vs y1, and x vs y2 in the same plot.
Make the title of the plot as your name.
Using subplot to plot two subplots, the first one x vs y1, and the second one is x vs y2.
Make the title of the first subplot as your full name, and title of the second subplot as your z number.
You have to label x axis and y axis in all graphes.

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