Answers.Body: <p>The machine learning (~AI) is all about code and data. If you planning to create something really unique, you'll probably need to, well, work with code and data.</p>
  
  <p>You'll probably should look at github and try to get inspiration from opensourced projects. If you found some AI-related artwork, try to google it's name with 'github'</p>
  
  <p>Another approach would be to look at medium, it's usually have some post/tutorial. </p>
  
  <p>The art is very broad topic and it's hard to cover it all. I try to provide examples of different resources that could help you to start.</p>
  
  <ul>
  <li><p>Google Research <a href="https://research.google.com/seedbank/" rel="nofollow noreferrer">made some examples</a>, where you run code in colab without installing anything locally. It helps you to try basic stuff. </p></li>
  <li><p>There is tensorflow.js, that allows to launch code at browser. You can look at <a href="https://www.tensorflow.org/js/demos" rel="nofollow noreferrer">demos with code</a></p></li>
  <li><p>There is intro course for visual artist on <a href="https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow-iv/" rel="nofollow noreferrer">kadenze</a>. </p></li>
  <li><p><a href="https://github.com/vibertthio/awesome-machine-learning-art#learning-resources" rel="nofollow noreferrer">Here it is</a> some more links on different courses. </p></li>
  <li><p><a href="https://github.com/carpedm20/DCGAN-tensorflow" rel="nofollow noreferrer">DCGAN</a> - very popular image generation library. </p></li>
  <li><p>TouchDesigner, very popular tool among visual artists, provides python interface. For example, <a href="https://github.com/mlarthack/DCGAN_TouchDesigner" rel="nofollow noreferrer">here is usage</a> of aforementioned DCGAN with it </p></li>
  </ul>
  
  <p>Also, there is creative section on NIPS(one of the biggest ML conferences) <a href="http://nips4creativity.com/" rel="nofollow noreferrer">http://nips4creativity.com/</a>. Some of the work provides detailed explanation, like <a href="http://paulsoulos.com/editorial/2017/07/18/noise-in-design.html" rel="nofollow noreferrer">this one</a></p>
  
  <p>I know, starting to code could be intimidating, but many github repos provides some description about how to launch them and you don't even have to know how they work exactly to use them. Also, it would help to have a person with programming experience, who could help you to deal with code.</p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-08-06T17:16:19.433Z
Answers.LastActivityDate: 2019-10-13T15:51:24.130Z
Answers.LastEditDate: 2019-10-13T15:51:24.130Z
Answers.UserDisplayName: Kirill Fedyanin
Body: <p>I have just watched a few videos on TED Talks talking about how AI benefits creatives and artists, but none of the videos I watched provided further resources for reference.</p>
  <p>So, I would like to know how creatives and artists can apply AI in their work process. Like at least a tutorial guide on how it works.</p>
  <p>Are there any recommendations on communities, tutorials, guides, platforms, and real-world AI applications that are meant for creatives and artists?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-08-06T18:58:16.923Z
Comments.Text: Trying to list all resources for creative uses of AI is a bit much. Is there a particuar medium you work in - music, prose, poetry, images? That might be more tractable.  Here's a resource: https://medium.com/@creativeai/creativeai-9d4b2346faf3
Comments.UserDisplayName: Neil Slater
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-10-14T02:50:58.960Z
Comments.Text: A.I. can produce music indistinguishable from Human music. (http://computoser.com/).
Comments.UserDisplayName: Donate to the Edhi Foundation
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-10-14T02:53:25.587Z
Comments.Text: Band-in-a-box has been around for a very long time! (https://en.wikipedia.org/wiki/Band-in-a-Box)
Comments.UserDisplayName: Donate to the Edhi Foundation
Tags: <machine-learning><deep-learning><reference-request><applications>
Title: What are examples of applications of AI for creatives and artists?
UserDisplayName: Organic Heart
ThreadText: # What are examples of applications of AI for creatives and artists?
  
  (Asked by: username_0 on 2019-08-06)
  
  I have just watched a few videos on TED Talks talking about how AI benefits creatives and artists, but none of the videos I watched provided further resources for reference.
  
  So, I would like to know how creatives and artists can apply AI in their work process. Like at least a tutorial guide on how it works.
  
  Are there any recommendations on communities, tutorials, guides, platforms, and real-world AI applications that are meant for creatives and artists?
  
  **Tags:** machine-learning, deep-learning, reference-request, applications
  > **Comments:**
  > **username_1**: Trying to list all resources for creative uses of AI is a bit much. Is there a particuar medium you work in - music, prose, poetry, images? That might be more tractable.  Here's a resource: https://medium.com/@creativeai/creativeai-9d4b2346faf3  
  > **username_2**: A.I. can produce music indistinguishable from Human music. (http://computoser.com/).  
  > **username_2**: Band-in-a-box has been around for a very long time! (https://en.wikipedia.org/wiki/Band-in-a-Box)  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_3 on 2019-08-06. Score: 3 | Accepted answer
  
  The machine learning (~AI) is all about code and data. If you planning to create something really unique, you'll probably need to, well, work with code and data.
  
  You'll probably should look at github and try to get inspiration from opensourced projects. If you found some AI-related artwork, try to google it's name with 'github'
  
  Another approach would be to look at medium, it's usually have some post/tutorial.
  
  The art is very broad topic and it's hard to cover it all. I try to provide examples of different resources that could help you to start.
  
  * Google Research [made some examples](https://research.google.com/seedbank/), where you run code in colab without installing anything locally. It helps you to try basic stuff.
  * There is tensorflow.js, that allows to launch code at browser. You can look at [demos with code](https://www.tensorflow.org/js/demos)
  * There is intro course for visual artist on [kadenze](https://www.kadenze.com/courses/creative-applications-of-deep-learning-with-tensorflow-iv/).
  * [Here it is](https://github.com/vibertthio/awesome-machine-learning-art#learning-resources) some more links on different courses.
  * [DCGAN](https://github.com/carpedm20/DCGAN-tensorflow) - very popular image generation library.
  * TouchDesigner, very popular tool among visual artists, provides python interface. For example, [here is usage](https://github.com/mlarthack/DCGAN_TouchDesigner) of aforementioned DCGAN with it
  
  Also, there is creative section on NIPS(one of the biggest ML conferences) <http://nips4creativity.com/>. Some of the work provides detailed explanation, like [this one](http://paulsoulos.com/editorial/2017/07/18/noise-in-design.html)
  
  I know, starting to code could be intimidating, but many github repos provides some description about how to launch them and you don't even have to know how they work exactly to use them. Also, it would help to have a person with programming experience, who could help you to deal with code.
  
  
  ---
  
  