What’s the use of np.copy? There is a line of code as follows: (since it’s directly given by the hint in the exercise, maybe it’s ok to post it here?) theta_plus = np.copy(parameters_values) When I saw this hint, I naturally want to find whether it’s also ok to simply use: theta_plus = parameter…

Thanks a lot! So maybe I can just use copy or deepcopy everytime I want to write some code like B=A ?

Yes, I think that’s a good idea. Using deepcopy is the better idea, because just plain copy doesn’t help in the case that the RHS is an object reference to a dictionary that contains numpy arrays. Of course it only matters when the RHS is an object reference. If it’s a python scalar, then it’s not …

Week1 Exercise3 Gradient Checking

Course Q&A Deep Learning Specialization Improving Deep Neural Networks: Hyperparameter tun

paulinpaloalto January 26, 2023, 4:22am 2

Here’s a thread which explains that. Make sure to read this later post on that same thread as well.

Topic		Replies	Views
Course 2 week 1 exercise 4 get theta with np.copy Improving Deep Neural Networks: Hyperparameter tun coursera-platform	2	709	August 11, 2021
C1 - W3 Exercise 7 copy.deepcopy Neural Networks and Deep Learning coursera-platform	4	978	August 14, 2022
W3E7 deep copy, and gradient equation Neural Networks and Deep Learning coursera-platform	2	491	October 23, 2023
Doubt on assignment Gradient check Course 2 Week 1 Improving Deep Neural Networks: Hyperparameter tun coursera-platform	1	669	May 11, 2021
Week 01 - Gradient Descent Checking - Exercise 04: Gadient_check_n Improving Deep Neural Networks: Hyperparameter tun coursera-platform	2	596	September 1, 2021

Week1 Exercise3 Gradient Checking

Related topics