A sigmoid neuron simulator, built with no external libraries used (other than math, vector, and iostream). This is a precursor to a full neural network. Takes elementary numerical data with intentional patterns and errors built in. Decides weights for each input using gradient descent.
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A sigmoid neuron simulator, built with no external libraries used (other than math, vector, and iostream). This is a precursor to a full neural network. Takes elementary numerical data with intentional patterns and errors built in. Decides weights for each input using gradient descent.
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HarishgunaS/SigmoidNeuron
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A sigmoid neuron simulator, built with no external libraries used (other than math, vector, and iostream). This is a precursor to a full neural network. Takes elementary numerical data with intentional patterns and errors built in. Decides weights for each input using gradient descent.
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