Starting with a `weight = 0`

and `bias = 0`

on a single neuron:

Setting `weight = 1.0`

while keeping `bias`

to `0`

:

Setting `bias`

to `0.5`

:

To flip the line horizontally, negate the `weight`

from `1.0`

to `-1.0`

:

Now let’s introduce the second neuron with values `weight = 1.0`

and `bias = 1.0`

:

This caused a vertical shift of the activation function. Note that the bias moves the line vertically.

Let’s negate the second neuron’s `weight`

by 2 (i.e. -2.0):

And now to compute the `output`

: