A simple machine learing project to dertermine different tones of colors
License: Other
A simple machine learning project to dertermine different tones of colors
The purpose of this AI is to determine which main color a color tone belongs to. For example you have a light blue pixel, the AI will say blue, if you have a dark blue pixel the AI will say also blue
In my opinion the Code right now is pretty clean, so pleasy keep it that way and also comment your changes like I did. Just write pretty code :)
Every network such as the primary color detector would derive from an abstract network class which provides methods for storing perceptrons in a datastructure and saving weights of those available thus allowing easier storage / saving of states (weights)
A network should get a save/load state method and every perceptron should get a save/load weights method each defined in the superclass
Would potentially make #7 more stable hence closing #1 entirely
The training pictures are currently in a bad condition. Some of them are displaying to much black and not enough bright color tones, this should be remade to improve the learning of the AI.
format:
rgb(r,g,b),
The perceptron should be more abstracted. We need a super (maybe abstract)class where every Perceptron class inherits from to keep methodnames simple
In order to create cooler output pictures new Perceptrons are needed.
For example for the colors black and white ...
The weights of the Perceptrons should be saved somehow. I was thinking to write it in a text document, but if you got better ideas feel free to bring them up
Would be great if you could implement a method wich saves / overwrites the saved weights and a method wich returns the weigths
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