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Classifying Objects in Images Using Deep Learning
Object classification
Computer vision is becoming an important part of future technology. For example,
we will have access to self-driving cars in the next five years (possibly much sooner,
if some rumors are to be believed). In order to achieve this, the car's computer needs
to be able to see around it: obstacles, other traffic, and weather conditions.
While we can easily detect whether there is an obstacle, for example using radar,
it is also important we know what that object is. If it is an animal, it may move out
of the way; if it is a building, it won't move at all and we need to go around it.
Application scenario and goals
In this chapter, we will build a system that will take an image as an input and give a
prediction on what the object in it is. We will take on the role of a vision system for a
car, looking around at any obstacles in the way or on the side of the road. Images are
of the following form:
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