Randomness is an integral part of a number of programming algorithms. In fact most of my research until now has been based on a computer algorithm that only uses random numbers for learning a specific task.
A while back I was trying to write some code to define and visualize different Random number generation models. For this task I was playing with a number of different algorithms and visualizing the output on a (kind of a ) probability map. [Not to mention that I use OpenCV for this project as well].
Some of these maps looked pretty cool, so I am just embedding them in this post - also if anyone is interested I have shared the link to this project at the bottom of this post, check that and modify --> make your own random distributions :D
So the input to each of my functions is a Uniform Distribution which looks like this:
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| A 2D Uniform Distribution |
Output distributions include:
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| A 2D Gaussian Distribution |
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| A 2D Mixture Distribution |
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| A 2D Custom Distribution |
