Now, before jumping to the most important deep learning image recognition model, we need to learn
a little bit about image features.
So let's say that you're looking at this image with your eye and your brain is analyzing.
What is that?
Well, there is some distinct features about the skull that helps your brain recognize that this is
a car.
Well, there is some high level features, like maybe the shape of the car overall.
Maybe if you know who it score is this this feature could represent the color of the car, the glass
of all of the car.
OK, so all of these are high level features.
There are more details that your brain may be analyzing, seeing Gabriel, seeing the headlight, seeing
the tail light, seeing the door, seeing the mirror, all of these other features.
So those features is exactly what the learning model used in order to recognize an image.
It analyzes all of these features and it takes a prediction decision according to them.
So a deep neural network is very similar to how your brain functions.
OK, now the next picture, we're going to introduce the most important deep learning model that is
used for image classification recognition.