https://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6

Neural Networks are made of 5 things: input, hidden layers, output, weights and biases (w + b), and activation function. We update w+b according to the loss, or badness, of the model.