<p>Deep learning is used to perform language translation in <a href="https://translate.google.com/" rel="nofollow noreferrer"><strong>Google Translate</strong></a> [<a href="https://ai.googleblog.com/2020/06/recent-advances-in-google-translate.html" rel="nofollow noreferrer">1</a>]. Specifically, Google Translate now uses <a href="https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf" rel="nofollow noreferrer">transformers</a> and RNNs rather than the original <a href="https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html" rel="nofollow noreferrer">GNMT system</a> (proposed in 2016), which was also based on neural networks. Deep learning is also used in <a href="https://www.deepl.com/en/translator" rel="nofollow noreferrer"><strong>DeepL</strong></a> (though I cannot find a good resource to cite apart from Wikipedia [<a href="https://en.wikipedia.org/wiki/DeepL_Translator" rel="nofollow noreferrer">2</a>] given that the system is closed-source), a strong alternative to Google Translate. However, note that, in general, machine translation is still far from perfect and it is probably not adopted to perform serious translations.</p>
<p><strong>Tesla's autopilot</strong> also uses neural networks [<a href="https://www.tesla.com/autopilot" rel="nofollow noreferrer">3</a>].</p>
<blockquote>
<p>Built on a deep neural network, Tesla Vision deconstructs the car's environment at greater levels of reliability than those achievable with classical vision processing techniques.</p>
</blockquote>
<p><strong>DeepFakes</strong> are also developed using deep learning techniques [<a href="https://en.wikipedia.org/wiki/Deepfake" rel="nofollow noreferrer">4</a>].</p>
<p>Neural networks are also being used for <strong>chords</strong> and <strong>beat detection</strong> of songs [<a href="https://chordify.net/pages/technology-algorithm-explained/" rel="nofollow noreferrer">5</a>].</p>

CC BY-SA 4.0
2020-08-13T23:50:35.783Z
I will be updating this answer, as I gather more information.
nbro
CC BY-SA 4.0
2020-08-14T05:07:28.733Z
Another application:https://en.wikipedia.org/wiki/DeepFace
chessprogrammer
CC BY-SA 4.0
2020-08-13T23:48:20.517Z
2021-10-02T00:56:34.400Z
2021-10-02T00:56:34.400Z
nbro
<p>2015 was a milestone year for AI--&quot;deep learning&quot; was validated in a very public way with AlphaGo.  However, at the time, the question was raised: &quot;What else is deep learning good for?&quot;</p>
<p>5 years later, I want to gauge:</p>
<ul>
<li>How is deep learning applied to real world problems in 2020?  What real world applications is it currently used for?</li>
</ul>

<deep-learning><applications>
What is the scope of real-world deep learning applications in 2020?
DukeZhou
# What is the scope of real-world deep learning applications in 2020?

(Asked by: username_0 on 2020-08-13)

2015 was a milestone year for AI--"deep learning" was validated in a very public way with AlphaGo. However, at the time, the question was raised: "What else is deep learning good for?"

5 years later, I want to gauge:

* How is deep learning applied to real world problems in 2020? What real world applications is it currently used for?

**Tags:** deep-learning, applications


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## 1 answers

### Answer by username_1 on 2020-08-13. Score: 5

Deep learning is used to perform language translation in [**Google Translate**](https://translate.google.com/) [[1](https://ai.googleblog.com/2020/06/recent-advances-in-google-translate.html)]. Specifically, Google Translate now uses [transformers](https://papers.nips.cc/paper/7181-attention-is-all-you-need.pdf) and RNNs rather than the original [GNMT system](https://ai.googleblog.com/2016/09/a-neural-network-for-machine.html) (proposed in 2016), which was also based on neural networks. Deep learning is also used in [**DeepL**](https://www.deepl.com/en/translator) (though I cannot find a good resource to cite apart from Wikipedia [[2](https://en.wikipedia.org/wiki/DeepL_Translator)] given that the system is closed-source), a strong alternative to Google Translate. However, note that, in general, machine translation is still far from perfect and it is probably not adopted to perform serious translations.

**Tesla's autopilot** also uses neural networks [[3](https://www.tesla.com/autopilot)].

> Built on a deep neural network, Tesla Vision deconstructs the car's environment at greater levels of reliability than those achievable with classical vision processing techniques.

**DeepFakes** are also developed using deep learning techniques [[4](https://en.wikipedia.org/wiki/Deepfake)].

Neural networks are also being used for **chords** and **beat detection** of songs [[5](https://chordify.net/pages/technology-algorithm-explained/)].

> **Comments:**
> **username_1**: I will be updating this answer, as I gather more information.  
> **username_2**: Another application:https://en.wikipedia.org/wiki/DeepFace  

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