# C1\_W3\_Lab06: meandering gradient descent

**URL:** <https://community.deeplearning.ai/t/c1-w3-lab06-meandering-gradient-descent/727090>\
**Category:** Supervised ML: Regression and Classification\
**Tags:** week-module-2\
**Created:** [November 24, 2024, 5:37pm UTC](https://community.deeplearning.ai/t/c1-w3-lab06-meandering-gradient-descent/727090 "2024-11-24T17:37:31Z")\
**Posts on this page:** 1\
**Showing post:** 6

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**Author:** ![rmwkwok](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/rmwkwok/32/126977_2.png) [@rmwkwok](https://community.deeplearning.ai/u/rmwkwok)\
**Post date:** [November 25, 2024, 2:27am UTC](https://community.deeplearning.ai/t/c1-w3-lab06-meandering-gradient-descent/727090/6 "2024-11-25T02:27:49Z")

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Hello @AKazak,

[Here](https://community.deeplearning.ai/t/c1w1-lab04-why-arent-the-gradients-perpendicular-to-the-contour-lines-solved/590511/5) is a similar discussion that shows that if we skew the axes, the path will not be perpendicular.

 ![image](https://global.discourse-cdn.com/dlai/original/3X/8/c/8c6819e9de157e5032ec02130f1e5cb23ac87905.png)  
If we look at the axes’ scales, it is obvious that (1) the w axis is longer than the b axis, but (2) the range of w is smaller than that of b. Therefore, before we say that it is not perpendicular, we would need to correct such effect first.

Cheers,  
Raymond

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