Broadcasting in Python (C1W2L15)




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Comment List

  • Deeplearning.ai
    November 26, 2020

    NICE.. thank you

  • Deeplearning.ai
    November 26, 2020

    Been trying to understand the dry run of the fundamental principle of the operation, this video is very helpful in solving my doubts…

    Thanks a lot

  • Deeplearning.ai
    November 26, 2020

    Where can I get the Juptyer notebook file for this? (Any github links ?)

  • Deeplearning.ai
    November 26, 2020

    If not for broadcasting introduction, might percentage = 100*np.matmul(A, (np.diag(1/cal))) be more intuitive to do matrix multiplication? And would it be a good convention to not use broadcasting since it is implicit?

  • Deeplearning.ai
    November 26, 2020

    I dont think we need to reshape cal because it is already a 1,4 matrix.
    simply use A/cal.

  • Deeplearning.ai
    November 26, 2020

    8:00 what if we have m*(n-1) matrix then can we do it by converting this to copy one column at last?? what was the column then ??

  • Deeplearning.ai
    November 26, 2020

    This was a very nice hands on explanation. Thank you!

  • Deeplearning.ai
    November 26, 2020

    Andrew NG is the BEST.

  • Deeplearning.ai
    November 26, 2020

    very clear explanation, thumbs up.

  • Deeplearning.ai
    November 26, 2020

    thank you

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