As the title suggests, this is a simple computer model I made of two adjustable input node with associated weights that when multiplied and combined, if crossing a certain threshold, called a bias, activates the output neuron. ( i1*w1 + i1*w2 - bias1 = o1) where if the activation is less than the bias, the output is just 0, essentially not activated.
100% code by me (obviously) Day 1: You can change the inputs and weights, as well as biases. Brightness af a neuron corresponds to its activation. Day 2: Lot of small changes, such as that now the connections are pen drawn, and the weights are described by the color and thickness of the connections.
