Intro To Stanley Terrain ClassificationYouTube↗  IA↗(long shot)
Education  48.9K views 42 likes 0 dislikes   23 Feb 2015
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so you might remember in the beginning of this unit if you talked about this
So you might remember in the beginning of this unit we talked about this example
example where we used supervised learning to Train the speed of our robot
where we use supervised learning to train the speed of our robot Stanley.
Stanley now we're going to do the same thing in a simplified example so picture
Now we are going to do the same thing in the simplified example.
a robot like the self-driving car in the desert adjusting its speed it'll do it
So picture a robot like the self driving car in the desert adjusting it's speed.
based on some features we can observe
It'll do it based on some features we can observe and
and the features we chose in an example
the features we chose in this example are just two of them.
are just two of them there's the steepness of the terrain whether it's
There's the steepness of the terrain.
flat over there it's a hill and then
Whether it's flat or whether it's a hill.
there's the ruggedness of the devayne
And then there's the ruggedness of the terrain.
how much the vehicle bops up and down
How much the vehicle bumps up and
which we can actually measure inside a
down which we can actually measure inside a car.
car and what we do is you're going to set up an example there you want to be
And what we do is we're going to set up an example where you're going to be
the machine learning specialist and you
the machine learning specialist and
will learn will help Stanley decide whether to go fast or slow using
you will help Stanley decide whether to go fast or slow
supervised machine learning so let's
using supervised machine learning.
again
So, let's dig in.
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