<p>Yes L1 and L2 in DL and ML refers to the same kind of regularization. DL can also benefit from dropout which is an additional method of regularization. See <a href="https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/" rel="nofollow noreferrer">this article</a>.</p>

CC BY-SA 4.0
2022-07-07T08:25:59.453Z
2022-07-07T08:25:59.453Z
theophile
<p>As there are L1 , L2 , etc out and other technique are those all same for machine learning and deep learning while using Ml algorithm and DL algorithm</p>

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2022-07-07T10:51:57.667Z
What are your findings so far? What is your understanding of ML/DL? Do you know what L1 and L2 are?
nbro
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2022-07-07T14:58:23.267Z
Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.
Community
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2022-07-07T16:22:55.100Z
ML and DL are the same thing,
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<machine-learning><deep-learning><computer-vision>
Is regularization in machine learning and deep learning same
Shreneek Upadhye
# Is regularization in machine learning and deep learning same

(Asked by: username_0 on 2022-07-07)

As there are L1 , L2 , etc out and other technique are those all same for machine learning and deep learning while using Ml algorithm and DL algorithm

**Tags:** machine-learning, deep-learning, computer-vision

> **Comments:**
> **username_1**: What are your findings so far? What is your understanding of ML/DL? Do you know what L1 and L2 are?  
> **username_2**: Please clarify your specific problem or provide additional details to highlight exactly what you need. As it's currently written, it's hard to tell exactly what you're asking.  
> **username_3**: ML and DL are the same thing,  

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## 1 answers

### Answer by username_4 on 2022-07-07. Score: 1

Yes L1 and L2 in DL and ML refers to the same kind of regularization. DL can also benefit from dropout which is an additional method of regularization. See [this article](https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/).


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