What algorithm to use












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I am stuck on what algorithm to use. I want to train my program on a dataset where i have an input image, and an output image which is a modified version of the input. The whole context of the image is important, and each pixel counts.



After training i want to input an image, and get an output similar to the training data.










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  • $begingroup$
    Maybe you can try autoencoders?
    $endgroup$
    – TitoOrt
    2 days ago
















1












$begingroup$


I am stuck on what algorithm to use. I want to train my program on a dataset where i have an input image, and an output image which is a modified version of the input. The whole context of the image is important, and each pixel counts.



After training i want to input an image, and get an output similar to the training data.










share|improve this question







New contributor




Martin M is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$












  • $begingroup$
    Maybe you can try autoencoders?
    $endgroup$
    – TitoOrt
    2 days ago














1












1








1





$begingroup$


I am stuck on what algorithm to use. I want to train my program on a dataset where i have an input image, and an output image which is a modified version of the input. The whole context of the image is important, and each pixel counts.



After training i want to input an image, and get an output similar to the training data.










share|improve this question







New contributor




Martin M is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
Check out our Code of Conduct.







$endgroup$




I am stuck on what algorithm to use. I want to train my program on a dataset where i have an input image, and an output image which is a modified version of the input. The whole context of the image is important, and each pixel counts.



After training i want to input an image, and get an output similar to the training data.







supervised-learning






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asked 2 days ago









Martin MMartin M

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  • $begingroup$
    Maybe you can try autoencoders?
    $endgroup$
    – TitoOrt
    2 days ago


















  • $begingroup$
    Maybe you can try autoencoders?
    $endgroup$
    – TitoOrt
    2 days ago
















$begingroup$
Maybe you can try autoencoders?
$endgroup$
– TitoOrt
2 days ago




$begingroup$
Maybe you can try autoencoders?
$endgroup$
– TitoOrt
2 days ago










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You can use Deep convolution GAN network of Deep learning. It would be a generative model.



you can get detailed help from :



https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b






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    $begingroup$

    You can use Deep convolution GAN network of Deep learning. It would be a generative model.



    you can get detailed help from :



    https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b






    share|improve this answer








    New contributor




    Reeves is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      0












      $begingroup$

      You can use Deep convolution GAN network of Deep learning. It would be a generative model.



      you can get detailed help from :



      https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b






      share|improve this answer








      New contributor




      Reeves is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






      $endgroup$
















        0












        0








        0





        $begingroup$

        You can use Deep convolution GAN network of Deep learning. It would be a generative model.



        you can get detailed help from :



        https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b






        share|improve this answer








        New contributor




        Reeves is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
        Check out our Code of Conduct.






        $endgroup$



        You can use Deep convolution GAN network of Deep learning. It would be a generative model.



        you can get detailed help from :



        https://medium.com/@keisukeumezawa/dcgan-generate-the-images-with-deep-convolutinal-gan-55edf947c34b







        share|improve this answer








        New contributor




        Reeves is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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        answered 2 days ago









        ReevesReeves

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