The link to open the optional lab: Gradient Descent does not work. [image]

Thanks, I’ll send a report to the course staff.

Reports from staff are that it seems to work fine when they test it. Are you still seeing this issue?

Hi, When i run the “C1_W1_Lab05_Gradient_Descent_Soln.ipynb” locally, i am getting error on the last command where Alpha is increased and the graph is plotted to show how gradient descent never converges. This is working fine when run directly from the optional lab link. Can anyone help what i a…

Hey @thahura , It happens due to something known as sys.maxsize. Since this most probably differs for the remote machine and your local machine, hence, the error is generated. You can know more about this and one possible way to rectify this error on this thread . I hope this helps. Regards, Elemen…

@Elemento Thanks. I’ll check the link where this is discussed and see if it can be fixed.

@Elemento Was able to fix this by making this change in plt_divergence cost = np.zeros_like(w_array) cost=cost.astype(float) z=np.zeros_like(tmp_b) z=z.astype(float)

Hi, I am facing the same issue but am unable to understand the solution mentioned here. I had opened the “lab_utils_uni.py” file and referred to the “plt_divergence” section mentioned there. But I couldn’t find where to insert the above-mentioned code?[quote=“thahura, post:8, topic:138954, full:tru…

Hey @Deependu_Ghosh , You can find them as below. I am mentioning a few lines before and after just for your reference. First Change # Print w vs cost to see minimum fix_b = 100 w_array = np.arange(-70000, 70000, 1000) cost = np.zeros_like(w_array) After the last line of code (in the above lines) …

Hello @Elemento , I had referred to the abovementioned changes in the codes but still got the same error. In fact, I had tried replacing “float” with “int64” but still no luck. screenshots are attached for your preview, kindly assist with the same. [Change_1] [change_2] [ErrorCode]

Optional lab: Gradient descent

Course Q&A Machine Learning Specialization Supervised ML: Regression and Classification

TMosh June 16, 2022, 9:05pm 4

Also I’ve moved this to the Week 1 discussion area, since that’s what is shown in the image you attached.

OverflowError: Python int too large to convert to C long

Topic		Replies	Views
C1 W1 Lab 04 Gradient Descent Soln Unable to plot last char Supervised ML: Regression and Classification week-module-1	1	363	September 30, 2023
C1_W1_Lab04 Overflow Error Supervised ML: Regression and Classification week-module-1	7	736	June 24, 2023
Week 1 gradient decent Supervised ML: Regression and Classification week-module-1	3	525	March 15, 2023
Overflow Error: Gradient descent Supervised ML: Regression and Classification week-module-1	1	496	June 24, 2023
Question on Week1_Lab04_Gradient_Descent_Solution AI Discussions ai-discussions	1	181	May 9, 2024

Optional lab: Gradient descent

Related topics