Hello, I’d like to correct the note in that exercise: Note: Don’t try to use x /= x_norm. For the matrix division numpy must broadcast the x_norm, which is not supported by the operant /= In reality, the /= is supported but the main issue here is the array data type, the tester passes in an int…

Thank you for the careful analysis here! You’re right that the real problem is that the dataset type coercion rules are different for the “in-place” operators. It was quite a while ago when I worked this exercise, but I just used: x = x / x_norm instead of the “in-place” operator: x /= x_norm an…

Just to follow up here, I did file the bug about this to get the instructions fixed. But there is another level of subtlety here: using “in place” operators like /=, +=, -= and so forth with numpy arrays has another potential downside. When you pass a numpy array or any other python “object” (as opp…

W2_A2_Ex-6_Normalize_Rows Note Correction

Course Q&A Deep Learning Specialization Neural Networks and Deep Learning

NaderSl June 27, 2023, 3:49am 3

Ah I see, that makes perfect sense. Thanks for caring and taking some time to try it out!

I guess its ok if it doesn’t get fixed anytime soon, more practice for the learner to solve it in a more manual fashion

W2_A1_Normalizing rows (x)

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W2_A2_Ex-6_Normalize_Rows Note Correction

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