Convolution is a way of extracting features from an image that may allow us to more easily classify it based on known features. Before we get into convolution, let's first take a step back and understand why networks, and our vision for that matter, need to isolate features in an image. Take a look at the following; it's a sample image of a dog, called Sadie, with various image filters applied:
Example of an image with different filters appliedThe preceding shows four different versions with no filter, edge detection, pixelate, and glowing edges filters applied. In all cases, though, you as a human can clearly recognize ...
