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The concept of having a computer recognize the contents of an image and not just see the data making up the image is called computer vision. It comes in many flavours, with the most common being image classification, or labeling, where the primary content of the picture is determined. Or theres object detection where common objects in the image are found, and boxes highlighting where theyre found in the image are provided. In this learning path, were going to take a look at image classification, where you give a computer an image, and it will tell you what it thinks that image contains. Before you get down to coding, lets explore how this works from a machine learning perspective. A neural network generally looks something like this. You have a number of layers. And every neural network will have an input layer, an output layer, and a number of hidden layers. I wont go into detail on how these work in this video, but if you check out the Machine Learning Foundations free course