what's happening here? two neural networks are being trained to work together to communicate information in the form of an image. one generate images, and the other predicts what an image means. in this simple case, an image represents a number 1-26 (or letter a-z)
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interestingly, the generated images have different underlying patterns after each run.
this is probably because the task is too easy (no noise + few unique symbols) and the neural networks quickly converge to a good solution, depending on however they were initializedpic.twitter.com/eu48ARE6M4
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I think the real fun will begin once some noise is introduced to the communication channel. here's an example of some early gray-scale images: