Single Neuron Network

The "Hello World" of Machine Learning.

Drawing the Line

lets say y=mx+b is equation of 1 neuron. for any x if we need our neuron to behave correctly, we have 2 ways to do it, weights and bias. $y=wx+b$

Weights vs bias

Weight

Changing w changes how strongly the output responds to changes in x.

Bias

Changing b shifts the whole output up or down.

Weight (w)1.0

Bias (b)0.0

y = 1.0x + 0.0