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In above image we got Y = Intercept + (Slope x X)
Also writen as
y = mx + b
where
y = Intercept + (Slop x X)
y = output / dependent variable
x = input / independent variable
m = slope (rate of change)
b = y-intercept (starting value)
Why is this formula used?
This formula is used to represent a linear relationship, meaning something changes at a constant rate.
It helps answer.
Where does the line start?
How fast does it increase or decrease?
Basically making it more like how the graph is drawn in math.
Using this equation, we can get the y value for a given x value.
How It is used in Neural Networks
The above linear equation is the Core building block of a neuron but with many inputs.
Any feedback or contributors are welcome! Itβs online, source-available, and ready for anyone to use.

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