# A doubt on Week 3 Lecture

**URL:** <https://community.deeplearning.ai/t/a-doubt-on-week-3-lecture/405614>\
**Category:** Neural Networks and Deep Learning\
**Tags:** coursera-platform\
**Created:** [August 2, 2023, 12:03pm UTC](https://community.deeplearning.ai/t/a-doubt-on-week-3-lecture/405614 "2023-08-02T12:03:42Z")\
**Posts on this page:** 1\
**Showing post:** 7

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**Author:** ![saifkhanengr](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/saifkhanengr/32/152858_2.png) [@saifkhanengr](https://community.deeplearning.ai/u/saifkhanengr)\
**Post date:** [August 2, 2023, 2:14pm UTC](https://community.deeplearning.ai/t/a-doubt-on-week-3-lecture/405614/7 "2023-08-02T14:14:58Z")

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> [@JJaassoonn](#):
>
> Yes, every term is clear except this dZ[1] = (W[2].T) (dZ[2]) \* g[1]'(Z[1]).

This is the derivative calculation. To understand this equation, you have to be familiar with Calculus. There are many posts related to this topic. You can read [this](https://community.deeplearning.ai/t/course-1-week-3-backpropagation-intuition/7979/2) and [this](https://community.deeplearning.ai/t/w2-a2-calculation-of-partial-derivatives/345419/7) and yet [this](https://community.deeplearning.ai/t/summary-and-the-derivations-of-gradients-for-linear-regression-and-logistic-regression/292863) one.

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