We just wrote a mathematical expression for this line and this is our function, X 1
plus (by) plus C equals to zero. 2
Let's just write it in another way. 3
We can also write this one as A over C, X, plus B or C, Y, class C/C, which is one equal 4
to zero or later we can just replace. 5
this was alpha and beta... 6
Y plus one equals to zero. 7
We can see that we have only two parameters which matter. 8
They are X and Y. 9
Take a look at this example here we have X, Y and C and these two parameters which matters for us. 10
They're very important. 11
are X and Y, each of them has a specific weight. 12
You can say this is the weight of (x) is (a) in the first example, you can show it with the Alpha or with 13
the beta. So the weight of X is shown with A and then here the rate of Y is surely B here we have a 14
fixed parameter which is C sum of all of them. 15
If we send them to a sigma and it will give us the index, this one would be our index or sometimes 16
called net. 17
This is giving us a signal, an index signal or a net signal. 18
And later, if we just take the function of the net, we can already say if this patient is diabetic or it's 19
not and it's healthy, you can show the result An, the output illogical output of zero or one here. 20
That's the expression for function F F of net. 21
This is one whenever indignance is greater or equal than zero or better to say, whenever the net is 22
positive in this side, this is positive, greater or equal to zero point is equal. 23
We can decide later based on our situation. 24
It can be for this part, for the negative part, or we can be for the positive part. 25
Suppose there is a patient who is exactly on this line, then it's up to the doctor to decide if he 26
or she will consider it as a diabetic person. 27
Or we can still say to the person is fine and healthy. It shows a mathematical model of a neuron and we 28
can call it a binary linear classification. 29
I remember the example which we want to decide either to laugh at this picture or not. 30
We were receiving some data and our brain, each neuron, will decide to activate or fire or not. 31
So in the end, this neuron is processing some data and sending out a result. 32
We can show it with 0 and 1 and later we can actually sure show it with more than zero and one parameters, 33
more parameters.