that we're trying to distinguish amongst.
in on the details of how to do that.
an extension of the one versus all method.
decide if it is a pedestrian, a car, a motorcycle or a truck.
our neural network now outputs a vector of four numbers.
image a pedestrian, yes or no.
The second unit to classify: is the image a car, yes or no.
is the image a truck, yes or no.
1, 0 and so on.
we want to distinguish amongst.
Yi will be one of these vectors.
four dimensional vectors when we have four classes.
get neural network to do multiclass classification.
that is on our hypotheses representation.
automatically learn the parameters of the neural network.