Hey, welcome to the first post in the series of deep learning. So let’s begin :)
The definition of Neuron
For sake of simplicity you can define it as
It’s the smallest structural building block of a neural network.
Each and every neuron in a neural network has:
- A set of inputs from x1,x2,x2 and so on till xn
- Each input has corresponding weights i.e. x1 has w1, x2 has w2 … xn has wn.
- A non-linear function to predict.
- A single output.