# DLS 2 Week 1 Programming Assignment 2 - About Notation

**URL:** <https://community.deeplearning.ai/t/dls-2-week-1-programming-assignment-2-about-notation/26480>\
**Category:** Improving Deep Neural Networks: Hyperparameter tun\
**Tags:** coursera-platform\
**Created:** [August 10, 2021, 4:02pm UTC](https://community.deeplearning.ai/t/dls-2-week-1-programming-assignment-2-about-notation/26480 "2021-08-10T16:02:27Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![PBenavides](https://avatars.discourse-cdn.com/v4/letter/p/22d042/32.png) [@PBenavides](https://community.deeplearning.ai/u/PBenavides)\
**Post date:** [August 10, 2021, 4:02pm UTC](https://community.deeplearning.ai/t/dls-2-week-1-programming-assignment-2-about-notation/26480/1 "2021-08-10T16:02:27Z")

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Hi! I need some clarification about the Regularization equation. I’m trying to learn the math procedure but I’m confused about the notation of the 5.2 equation on the Notebook. What do k and j refer to on the Regularization part? Also, the ^2 is confusing, but I know is an exponential weight.

 ![image](https://global.discourse-cdn.com/dlai/original/2X/4/4df7ad01ecfbacedce112bdeb2edc7be21de6ac8.png)

Thanks in advance for the answer!

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**Author:** ![jonaslalin](https://sea1.discourse-cdn.com/dlai/user_avatar/community.deeplearning.ai/jonaslalin/32/63_2.png) [@jonaslalin](https://community.deeplearning.ai/u/jonaslalin)\
**Post date:** [August 10, 2021, 7:42pm UTC](https://community.deeplearning.ai/t/dls-2-week-1-programming-assignment-2-about-notation/26480/2 "2021-08-10T19:42:44Z")

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Have a look at Prof Andrew Ng’s lecture:

> **[Regularization - Practical Aspects of Deep Learning | Coursera](https://www.coursera.org/lecture/deep-neural-network/regularization-Srsrc)**
>
> Video created by DeepLearning.AI for the course "Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization". Discover and experiment with a variety of different initialization methods, apply L2 regularization and ...

Your question is covered around the 5 minute mark.
