For now, we will define a perceptron using six specific mathematical representations that demonstrate its learning mechanism. These representations are the inputs, weights, bias term, summation, and the activation function. The output will be functionally elaborate upon here under.
Building a perceptron
Input
Remember how a biological neuron takes in electrical impulses from its dendrites? Well, the perceptron behaves in a similar fashion, yet it prefers to ingest numbers in lieu of electricity. Essentially, it takes in feature inputs, as shown in the preceding diagram. This particular perceptron only has three input channels, these being x1, x2, and x3. These feature inputs (x1, x2, and x3) can be any independent variable...
