How does a Neural Network work?

Neural Network is essentially is a connected layer of neurons.

 So, in this case we have four neurons in the first layer, let’s say input layer and in the second layer we have one neurons, let’s say output layer.

In a neural network, we can have connections happening in different ways. Each neuron in one layer may be connected to the other neuron in other layer or some may not be connected. It really depends on the type of neural network we do. 

 Now in most cases we do is we have a fully connected neural network. Which means the each neuron in one layer is connected to the each neuron in the other layer exactly once. 

 Now all of the connections have a weight.

 Well, essentially we gonna give it a kind of input and it do something with it and gonna get some output. In this case we have four inputs and only one output.

 We could also have a case where, we have 4 inputs and 24 outputs. It really depends on the type of problem we are working with.