Simple neural network that learns to predict colors (AI Color Predictor)

This is a single layer neural network consists of 4 inputs __4 neurons__ (first is bias=1 & others is RGB color values) and one output __1 neuron__.

This neural net trains itself on 4 samples of (RGB) red & blue colors using signum & signum_derivative & dirac_delta functions to classify your inputed color to blue +1 or red -1.

You can view the source code on GitHub.

Here is the mathematical representation of the idea:

- Trainning data samples & Neural Network:

- Calculation of the output Y with signum function:

- The weight adaptation steps:

Screenshots of some tests:

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