<p>This is an open reasearch topic called Generative Adversarial Networks. An explanation of this can be found here: <a href="https://www.quora.com/What-are-Generative-Adversarial-Networks" rel="nofollow noreferrer">https://www.quora.com/What-are-Generative-Adversarial-Networks</a>. </p>

<p>Example paper usage: <a href="https://arxiv.org/pdf/1612.07828v1.pdf?utm_campaign=Machine%2BLearning%2BWeekly&amp;utm_medium=web&amp;utm_source=Machine_Learning_Weekly_9" rel="nofollow noreferrer">https://arxiv.org/pdf/1612.07828v1.pdf?utm_campaign=Machine%2BLearning%2BWeekly&amp;utm_medium=web&amp;utm_source=Machine_Learning_Weekly_9</a>. </p>

<p>Example youtube tutorial: <a href="https://www.youtube.com/watch?v=deyOX6Mt_As" rel="nofollow noreferrer">https://www.youtube.com/watch?v=deyOX6Mt_As</a>.</p>
feeding raw data as image to deep learning machine and expecting to create an image for given class
<p>I know that deep learning is capable of many cool stuff to do with images.
the question that i am facing is:
is it possible to create a bitmap image of a large data for multiple class and feed it to a deep learning image processing machine, and when trained expect the machine to generate an image for the given class?</p>

<p>for example predicting a sport match; giving an image of the statics of each game as input, and the class would be the name of two teams.
so when I enter "New England Patriots - Seattle Seahawks" the AI generate an image that is the prediction of statics of the game.</p>

<p>will doing so help prediction in anyway?</p>