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Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): ▸ A- np.array([[3,4],[-1, 2]]) B = np.array([[5,2], [8, -3]]) #calculate dotprod(A,B) Compare your results to the built.in function np. dot(A,B)

Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): ▸ A- np.array([[3,4],[-1, 2]]) B = np.array([[5,2], [8, -3]]) #calculate dotprod(A,B) Compare your results to the built.in function np. dot(A,B)

Computer Networking: A Top-Down Approach (7th Edition)
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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Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): A = np.array([[3,4],[-1, 2]]) B = np.array([[5,2],[8, -3]]) #calculate dotprod (A,B) Compare your results to the built.in function np. dot(A, B) [ ] np.dot(A,B) [ ] # how about some random matrices,
Transcribed Image Text:Problem 3: Dot Product Write a function which takes input parameters A, and B and returns the dotproduct of two matrices then compare your dot product function w.r.t. the built-in function np.dot() [ ] def dotprod(A,B): A = np.array([[3,4],[-1, 2]]) B = np.array([[5,2],[8, -3]]) #calculate dotprod (A,B) Compare your results to the built.in function np. dot(A, B) [ ] np.dot(A,B) [ ] # how about some random matrices,
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