Neural Networks-Part(2): Activation Functions

In the previous article Neural Networks-Part(1): Introduction to Neuron and Single Neuron Neural Network we mentioned using activation functions. Just like Optimus prime transforms, activation functions help us to transform the data of our neurons. We haven't talked about layers in a neural network yet but just a brief for them is layers in neural networks are composed of neurons. We add these layers between inputs and outputs and when a model is prepared for production, the user will only have access to the inputs and outputs of your model and not the layers in between and hence they are called hidden layers. I explained it with an example, but it is a convention that we call those layers hidden layers.