In this section, first, we are going to define a neural network, talk about our brain's ability, 1
and then we will continue the discussion by introducing a model for artificial neural networks. 2
Let's see what can our brain do. Our brains can recognize people after so many years. 3
This is a very important task for our brains. 4
And if you work in the field of image processing, you might understand that this is a very complex 5
and complicated task for a computer to do. 6
And it requires several programming and layers to recognize a face of a human, especially if a person 7
change the color of their hair, their color of the eyes, 8
Computers are not really able to recognize the same person if they change a little bit. 9
But this is a very easy task for our brain and we can recognize our best friend even after a few years, 10
like three years, five years, without any hesitation. 11
Next thing that our brain can do, and this is very fascinating, it's read different handwriting. 12
The kids during the elementary school might not really be good at this task. 13
They might not really be able to read our handwriting. 14
But after a few years when they are in high school or better, if they are an instructor or a teacher 15
already, they can read different handwriting. 16
They can just read even bad handwriting. Their brain during the years of experience and seeing different 17
handwriting improve itself. 18
Another fascinating thing about our brain is our brain can have this flexibility and can separate the 19
errors and false data from the useful data. 20
So our brain has kind of filter that can filter extra lines and just read the passage itself. 21
There are several applications for converting handwriting into a typed text. 22
We all have it in our cell phone. 23
You can try a Google application or other keyboards and you can try writing something. 24
It will just translated into a text. 25
But as you just try it for a few times, they are very sensitive. 26
They improved during a past years very much. 27
But, still they are sensitive and still they might get a mistake between 'a' and 'o' and some other 28
letters. 29
And finally, our brain can learn, which is very amazing. 30
And that's what we are trying to implement and apply on the machines as well. 31
A human baby, when wants to catch some object, they are actually trying, failing, trying, failing 32
to finally attach to a specific object. 33
Eventually, the brain is calculating the cos function based on the distance of the eyes and distance 34
to the object. 35
But they are not aware of that. 36
They're just trying and failing until they can catch 37
the object. Our brain is amazing! 38
Our brains can learn during the time. But let's see how can we do 39
such an amazing and fascinating things? 40
What is inside of our brain, of our brain has around 10 billion Neurons. Each neuron has up to ten 41
thousand connections. 42
Just imagine that you are living in a society that you are connected directly to ten thousand people. 43
And whenever you have a request, whenever you're looking for something, you can directly ask the mayor, 44
you can directly ask the president. 45
We all know that people with too many connections, they can just easily do their so usually easier 46
than others. 47
Connection is very important. 48
Even in our world! In our brain, each neuron has connections to ten thousand neurons, which is very 49
important. 50
And it will help of our brain to make a fast decision and do these amazing things. 51
This is a biological model for the Neuron. A neuron takes and an input signal through the dendrites, process 52
it likes the CPU, with Soma and process to output through a cable-like structure to other connected 53
neurons, which is through the axon to synapses to other neurons dendrite. 54
So this is how our brain and how the neurons inside of our brain are working.